Content

Introduction ...... 2 Faculty of Vehicle Engineering ...... 7 ZF Endowed Chair for Chassis Technology and Driving Dynamics...... 9 AVL List Endowed Chair for Innovative Powertrains and Control Systems of Future Vehicles...... 12 Schaeffler Group Endowed Chair for Vehicle Technology ...... 17 Infineon Technlogies Endowed Chair for Microcontroller and Embedded Systems ...... 21 Rheinmetall Automotive Endowed Chair for Automotive Engine Technology .... 27 Getrag Endowed Chair for Vehicle Transmission Technology ...... 33 Mubea Endowed Chair for Material Systems for Vehicle Lightweight Construction ...... 35 Faculty of Mechanical Engineering ...... 39 Siemens Endowed Chair for Mechanical Engineering Informatics (SMI) ...... 41 Jungheinrich Endowed Chair for Technical Logistics ...... 46 Contact Software Endowed Chair for Development Methodology and Product Reliability...... 51 Bosch Rexroth Endowed Chair for Automation & Electrification Solutions ...... 55 Faculty of Electrical Engineering ...... 61 TÜV SÜD Endowed Chair for Reliability and Safety of Technical Systems ...... 63 Stihl Endowed Chair for Electrical Engineering and Computer Science ...... 67 Chair for Communication Networks ...... 72 Faculty of Economics & Management ...... 76 Bosch Endowed Chair for Global Supply Chain Management ...... 78 Goetzpartners Endowed Chair for Innovation und Entrepreneurship ...... 81 Bayer Endowed Chair for Intellectual Property Right ...... 84 EY Endowed Chair für Accounting, Controlling and Auditing ...... 87 Chair for Business Informatics ...... 90

Chinese-German School for Postgraduate Studies

After twenty-two years of successful (double) master’s training in engineering and economics with more than 2000 Chinese and German graduates, the Chinese German School for Postgraduate Studies (CDHK) was restructured from a training facility to a network platform in 2020. According to the principle of "small core, large range, high level", the bilateral cooperation between Tongji University and the German partner universities is systematically expanded and promoted by the CDHK within the framework of master’s training, doctoral studies and research.

Within the four newly established Chinese-German centers in the fields of “Mechanical Engineering”, “Vehicle Technology”, “Economics and Management” and “Intelligent Systems”, special Germany classes were set up in which the Chinese students get to know the German language and partly taught by German visiting professors. For the German exchange and double master’s students, the CDHK coordinates the China competence training, organizes company visits, internships, excursions, intercultural projects and events. In addition, the CDHK conducts targeted marketing, acquires third-party funding, maintains the bilateral alumni network, participates in the Sino-German innovation dialogue and administers the endowed chairs of German companies. In the future the CDHK plans to establish more centers within Tongji University to include new subject areas such as environmental science and urban planning.

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Introduction

This research report systematizes the most important key figures and research results that were achieved in 2019/20 thanks to the commitment of the professors and their teams and thanks to the financial support of the CDHK sponsor companies.

For example, 56 research projects with a total volume of over 187 million RMB were acquired at the 19 CDHK endowed chairs in the fields of vehicle technology, mechanical engineering, electrical engineering and economics, including 32 public and state-funded projects and 24 industrial projects.

In addition to the main research areas at the endowment chairs, the written master's and PhD theses, scientific publications and conferences as well as important partner institutions are presented in this report. The aim of the report is to document the cooperation between the Tongji colleges, the German universities and the CDHK sponsor companies which we hope to further expand in the future.

We wish you an inspiring and informative read.

Prof. Dr. WU Zhihong and Thomas Willems CDHK Vice Directors

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Number of Research Projects 2019/2020

Total Number: 56

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32

Public/Government funded Projects Industry Projects

Volume of Research Projects 2019/2020

Total Volume in RMB: 187,225,370 ¥26,217,870

¥161,007,500

Public/Government funded Projects Industry Projects

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4

5

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Faculty of Vehicle Engineering

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Number of Research Projects 2019/2020 Faculty of Vehicle Engineering

Total number: 31

15 16

Public/Government funded Projects Industry Projects

Volume of Research Projects 2019/2020 Faculty of Vehicle Engineering

Total volume in RMB: 130,047,870

¥21,417,870

¥108,630,000

Public/Government funded Projects Industry Projects

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ZF Endowed Chair for Chassis Technology and Driving Dynamics

Prof. Dr.-Ing. YU Zhuoping

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The University Chair for Car Chassis Technology and Vehicle Dynamics understand their responsibility to contribute to research and teaching to support necessary development steps within the Chinese . In the field of Vehicle Dynamics and Diagnosis, the Chair works on the following research focuses: • Perception, decision and control of an intelligent vehicle • Control of the chassis • Vehicle dynamics of electronic vehicles driven by wheel hub engines • Drive and steering of fuel cell vehicles • Core technology of the fuel cell vehicle

The team consists of 2 professors (Prof. YU Zhuoping and Prof. XIONG Lu) and 21 PhD candicates.

Courses: - Vehicle theory incl. vehicle dynamics - Vehicle theory incl. vehicle dynamics (block course)

Research Projects (public/government founded) Ongoing projects: 1) Integration and use of the wheel hub motor driven chassis (05.2018-06.2021) Project partner: The National Key Technology R&D Program Project volume: 540,000 RMB Project description: The research of the decisive basic problems of the dynamics of smart electric cars: the shaping of the properties of complex coupling dynamics, the drive, braking and stability dynamics. Project goal/results: The complicated coupling dynamics model of smart electric cars; The identification method of the wheel-ground property parameters based on the wheel speed and driving torque; The control method of propulsion flutter avoidance under complicated working conditions.

2) The research on valuation of the intelligent vehicle (05.2018-12.2020) Project partner: The National Key Technology R&D Program Project volume: 5050,000 RMB Project description: The research of assessment measures for the environmental perception, decision, route planning, control system of the intelligent vehicle. Project goal/results: How can the intelligent vehicles be properly rated.

3) The position and pose calculation of the intelligent electric vehicle in the multi- rate property of the measurements and driving dynamics (01.2020-12.2022) Project volume: 600,000 RMB Project description: Design of the algorithm to estimate the vehicle pose, speed and position taking into account the signal delay and the multi-rate properties from the vehicle sensors. Project goal/results: Calculate the position and pose of the vehicle precisely.

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Publications (1) Xiong, L., Xia, X., Lu, Y., Liu, W., & Yu, Z. (2019). Imu-based automated vehicle slip angle and attitude estimation aided by vehicle dynamics. Sensors, 19(8), 1930. (2) Gao, L., Xiong, L., Lin, X., Xia, X., Liu, W., & Lu, Y., et al. (2019). Multi-sensor fusion road friction coefficient estimation during steering with lyapunov method. Sensors (Basel, Switzerland), 19(18). (3) Zeng, D., Yu, Z., Xiong, L., Zhao, J., & Zhou, Y. (2019). A Novel Robust Lane Change Trajectory Planning Method for Autonomous Vehicle. 2019 IEEE Intelligent Vehicles Symposium (IV). IEEE. (4) Zeng, D., Yu, Z., Xiong, L., Zhao, J. et al., "A Steerable Curvature Approach for Efficient Executable Path Planning for on-Road Autonomous Vehicle," SAE Technical Paper 2019- 01-0675, 2019 (5) Han, W., Xiong, L., & Yu, Z. (2019). A novel pressure control strategy of an electro- hydraulic brake system via fusion of control signals. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. (6) Han, W., Xiong, L., & Yu, Z. (2019). Braking pressure control in electro-hydraulic brake system based on pressure estimation with nonlinearities and uncertainties. Mechanical Systems and Signal Processing, 131, 703-727. (7) Yu, Y., Xiong, L., Yu, Z., Yang, X., & Leng, B. (2019). Model-Based Pitch Control for Distributed Drive Electric Vehicle. WCX SAE World Congress Experience. (8) Yu, Z., , R., Xiong, L., & Fu, Z. . (2019). Robust hierarchical controller with conditional integrator based on small gain theorem for reference trajectory tracking of autonomous vehicles. Vehicle System Dynamics, 57(8), 1143-1162. (9) Zhang, P., Xiong, L., Yu, Z., Fang, P., & Zhou, Y. (2019). Reinforcement learning- based end-to-end parking for automatic parking system. Sensors, 19(18), 3996-. (10) Zhao, J., Huang, Y., He, X., Zhang, S., Ye, C., & Feng, T., et al. (2019). Visual semantic landmark-based robust mapping and localization for autonomous indoor parking. Sensors, 19(1). (11) Zeng, D., Zhou, Y., Yu, Z., Xiong, L., & Yao, J. (2019). A Motion Planning Method Addressing Arbitrary Lots for Autonomous Parking Vehicle. 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE. (12) He, X., Zhao, J., Sun, L., Huang, Y., Zhang, X., & Li, J., et al. (0). Automatic Vector- based Road Structure Mapping Using Multi-beam LiDAR. International Conference on Intelligent Transportation Systems. Ministry of Education, Tongji University, The Key Laboratory of Embedded System and Service Computing, Shanghai; Ministry of Education, Tongji U. (13) Zeng, D., Yu, Z., Xiong, L., Fu, Z., & Zhou, H. (2019). Dbo trajectory planning and hahp decision-making for autonomous vehicle driving on urban environment. IEEE Access, PP (99), 1- 1. (14) Zeng, D., Yu, Z., Xiong, L., Zhang, P., & Fu, Z. (2019). A unified optimal planner for autonomous parking vehicle. Control Theory and Technology, 17(4), 346-356.

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AVL List Endowed Chair for Innovative

Powertrains and Control Systems of Future Vehicles

Prof. Dr.-Ing ZHOU Su

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This Chair includes 1 professor, 1 lecturer, 1 assistant, and 14 master students.

Courses: - Innovative Vehicle Drives - Combustion Engine Technology II - Charging Combustion Engines (Block course) - Combustion Engines II (Recharging Technology) (Block course)

Master thesis: (1) Georg Kolb: “Implementation of the Kaizen Principles at the Development & Calibration Department of the AVL Technical Center in Shanghai”, 2019.09 (2) Domenik Kohl: “Market analysis for Fuel Cell Electric Vehicles for the automotive industry”, 2019.12 (3) Michael Semmer: “Developing resilient scenarios that reflect the global market share of drive technologies in 2030 and analysing the Austrian automotive economy”, 2019.12 (4) YIN Xiaofeng: “Optimization and Validation of 500KW Permanent Magnet Motor’s Rotor”, 2019.11 (5) SUN Yan: “Research on Modeling, Simulation and Control of Vehicle Methanol Reformer / Fuel Cell System”, 2020.03 (6) WEN Zejun: “Research on Energy Management and Control Strategy of Multi-Stack Fuel Cell System for Automotive Applications”, 2020.03 (7) YI Ran: “Research on Vehicular Intelligent Positioning based on Stereo Vision”, 2020.03 (8) ZHENG Shoujian: “Research on Vehicle Detection and Pose Estimation Algorithm Based on Concatenated Convolution Neural Network”, 2020.03 (9) ZHOU Shangwei: “Online Fault Diagnosis of Water Management Failure in Vehicle- board Fuel Cell System”, 2020.04 (10) YANG Xiaolian: “Research and Engineering Realization of Bi-Direction Communication with LF and RF in Automobile Intelligent Key System”, 2020.05 (11) WU Nan: “Research on Path Planning and Tracking Algorithm of Four-wheel Independent Steering Electric Vehicle based on Vision”, 2020.06 (12) WANG Rucai: “Research on the DoS-based and KPI-model-based calibration method for an ACC controller”, 2020.06 (13) LI Sihuang: “3D Parametric Design and Modeling of the Power Train Parts for Vehicle Automatic Transmission”, 2020.06

PhD thesis: (1) ZHI Xuele: “Dynamics Modeling and Multi-objective Dynamics Control of 4WID-4WIS Electric Vehicle”, 2019.01 (2) HU Zhe: “Research on Fuel Cell On-line Faults Diagnosis Method and Application”, 2019.11

Research Projects (public/government founded) Ongoing Projects 1) Development and application of integrated test devices for fuel cell board network dynamics (10.2012-tbd) Project partner: Ministry of Science and Technology China Project Volume: RMB 2,600,000

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Planned Projects 1) Study on Classification and Localization of PEMFC Faults Based on theStack Port Signals (2021.01-2024.12) Project partner: The National Natural Science Foundation of China Project Volume: RMB 572,000 Project goal: 1) Establish a dynamic distributed parameter PEMFC model that can be embedded into the typical faults, and the the analysis and study of the port signals involved in different physical processes during the typical fault occurrence process from the mechanism level are curried out; 2) Carry out embedding research on the occurrence mechanism model of different types/locations of typical faults and study the model of fault occurrence mechanism at different locations of the fuel cell stack; 3) Based on the established distributed parameter model, we will study the realtime processing of port signals involving different physical processes.

2) Research on common Key Technology of Fuel cell Vehicle: Research on dynamic model of fuel cell for control. (2019.10-2021.10) Project partner: Shanghai Science and Technology Commission Project Volume: tbd. Project goal: 1) Establish a control-oriented dynamic model of the fuel cell system and implement it in Matlab/Simulink. 2) Establish a fuel cell system failure mode and failure characteristic database.

Industry Projects Completed Project 1) Development of the fuel cell engines (2019.03-2019.11) Project partner: Guofang Automobile Electronic Co.&Ko Project Volume: RMB 2770,000 Project goal: Development of logistics vehicle with fuel cells for demonstration.

2) Artificial intelligent data processing for vehicle systems and transport systems (2017.09- 2019.09) Project partner: Sino-German Hongtai Co.&Ko Project Volume: RMB 2,000,000 Project goal: R&D focusing on Data processing

3) Requirements for the powertrain of fuel cell vehicles, component selection and system definition (2019.06-2020.06) Project partner: United Automotive Electronic Systems Co., Ltd. Project Volume: RMB 200,000 Project goal: Three reports and presentation provided

Ongoing Projects 1) Joint-Lab for specialized fuel cell applications (2018.12-2021.12) Project partner: Refire GmbH Project Volume: RMB 3,000,000 Project goal: R&D activities on issues relating to „specialized fuel cell applications“

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2) Research on Technical Standards for Efficient Operation Evaluation of Pure Electric Logistics Vehicles (2020.04-2020.10) Project partner: Shanghai Motor Vehicle Inspection Certification & Tech Innovation Center Co., Ltd. Project Volume: RMB 80,000 Project goal: A scientific consulting paper on assessment criteria for driving performance and the electric trucks.

Planned Projects 1) Research on Fuel Cell HiL System Model and Control Algorithm (2020.10-2022.12) Project partner: United Automotive Electronic Systems Co., Ltd. Project Volume: RMB 500,000

Conferences (1) H. Brunner, Zh. Xuelei, M. Mietschnig, S. Jones, S. Zhou, G. Steinbauer, M. Hirz, 2019, Research on Autonomous Driving based on a Highly Flexible Prototype Vehicle, the 2019 IEEE ICCVE, Nov.4-8, 2019, Graz, Astria (2) Su Zhou, Xuelei Zhi, Linjiong Yu, 2019, Temperature Control of PEMFC Based on Optimal Power Consumption, the 38th Chinese Control Conference (CCC 2019), July 27- 30, 2019, Guangzhou, China (3) Su Zhou, Zhe Hu, Xiao-bo He, 2019, System Fault Simulation Based on Fuel Cell Dynamic Model, the 2019 WCMEIM, Nov. 22-24, 2019, Shanghai, China (4) Su Zhou, Peng Zhao, Jie Jin, 2020, Cascaded GPS/IMU Integrated Positioning System Based on Vehicle Kinematics Model, the 32nd Chinese Control and Decision Conference, (accepted) (5) Su Zhou, Yuehua Wei, Jie Jin, Shuang Zhai, 2020, A Driving Cycle for A Fuel Cell Logistics Vehicle on A Fixed Route: Case of the Guangdong Province, SAE Powertrains, Fuels & Lubricants Meeting, Krakow, Poland, (submitted) (6) Su Zhou, Jie Jin, Yuehua Wei, Lin Shi, 2020, Online estimation of membrane water content in vehicular PEM fuel cell by complex wavelet transformation, SAE Powertrains, Fuels & Lubricants Meeting, Krakow, Poland, (submitted)

National and International Publications (1) ZHOU Su, WANG Yanjiao, JIANG Luwei, JIN Jie, 2019, PEMFC States and Parameters On-line Estimation Based on EKF with Tracking Factor. Journal of Projectiles, Rockets, Missiles and Guidance, Vol.39(4), 147-152, 2019.08 (2) ZHOU Su, ZHI Xuelei, LIU Dong, NING Hao, JIANG Lianxin, SHI Fanhuai, 2019, A Convolutional Neural Network-Based Method for Small Traffic Sign Detection. Journal of Tongji University (Natural Science), Vol.47(11), 1626-1632, 2019.11 (3) ZHOU Su, SUN Yan, HUANG Jing, 2019, Influences of Pedal Characteristics on Braking Energy Recovery of Electric Vehicles. Journal of Tongji University (natural science), Vol.25(5), 10-18 (4) ZHOU Su, ZHI Xuelei, LIN Feibin, NING Hao, JIANG Lianxin, WU Nan, 2019, Research on Vehicle Detection and Tracking Algorithm Based on Onboard Video Images, Journal of Tongji University (Natural Science), Vol.47(S1), 191-198, 2019.12 (5) ZHOU Su, HU Zhe, XIE Fei, 2020, Study on Adaptive Decoupling Control Algorithm for Air Supply System of Vehicle Proton Exchange Membrane Fuel Cell, Automotive Engineering, 42(2): 172-177 (6) ZHOU Su, YI Ran, ZHENG Miao, 2020, Research on Drivable Area Segmentation

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Algorithms Based on Knowledge Distillation, Automobile Technology, 532(1): 1-5 (7) ZHOU Su, XU Kerong, ZHI Xuelei, 2020, Design of Wireless Control System for Four- Wheel Independent Driving/Steering Electric Vehicle, Automobile Technology, 533(2): 1- 5 (8) ZHOU Su, YANG Xiaolian, 2020, Research and Engineering Realization of Bi-Direction Communication with LF and RF in Automobile Intelligent Key System, Fuguang Technology, 2020(3): 239-241 (9) ZHOU Su, LU Yihong, JIN JIe, 2020, Adaptive Cruise Sliding Mode Control of a Four- wheel Independent Drive Electric Vehicle, Automotive Engineering, (accepted) (10) Zhou, Su; Zhang, Gang; Yi, Ran; Xie, Zhengchun, 2020, Research on Vehicle Adaptive Realtime Positioning Based on Binocular Vision, The IEEE Intelligent Transportation Systems Magazine, (submitted) (11) ZHOU Su, ZHENG Miao, ZHENG Shoujian, JIN Jie, 2020, Vehicle Pose Estimation Algorithm Based on Convolution Neural Network, Journal of Tongji University (Natural Science), (submitted) (12) Su Zhou, Rucai Wang, Hans-Michael Koegeler, Jie Jin, 2020, An Active DOE method for the Automated Driving, Function ACC Controller Calibration, International Journal of Powertrains, (submitted) (13) Su Zhou, Zhengchun Xie, Gang Zhang, Mario Hirz, 2020, Construction and Test of Wireless RemoteControl System for Self-driving Car, Journal of the Chinese Institute of Engineers, (submitted) (14) Su Zhou, Jie Jin, Yuehua Wei, 2020, Energy Management of Fuel Cell/Battery Hybrid Logistics Vehicle Based on Dynamic Programming, International Journal of Energy Research, (submitted)

Lectures (1) H. Brunner, Zh. Xuelei, M. Mietschnig, S. Jones, S. Zhou, G. Steinbauer, M. Hirz, 2019, Research on Autonomous Driving based on a Highly Flexible Prototype Vehicle, the 2019 IEEE ICCVE, Nov.4-8, 2019, Graz, Astria (2) Su Zhou, Xuelei Zhi, Linjiong Yu, 2019, Temperature Control of PEMFC Based on Optimal Power Consumption, the 38th Chinese Control Conference (CCC 2019), July 27- 30, 2019, Guangzhou, China (3) Su Zhou, Zhe Hu, Xiao-bo He, 2019, System Fault Simulation Based on Fuel Cell Dynamic Model, the 2019 WCMEIM, Nov. 22-24, 2019, Shanghai, China

Other Partners Companies / Organizations SAIC China, Shanghai Automotive Inspection Center

International Scientists / Universities Prof. Dr. Mario Hirz, Graz University of Technology

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Schaeffler Group Endowed Chair for Vehicle Technology

Prof. Dr.-Ing. ZHANG Tong

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The research focus of the chair lies in the development methods/processes of the powertrain of fuel cell vehicles. The team of doctoral and master students should answer the academic questions of the hybridization degree of batteries and fuel cells using the fuel cell vehicles developed by them. Another research focus of our chair is the development of energy management strategies for fuel cell vehicles and the application of different strategies to real vehicles as well as their validation. The research results were presented at the International academic Conference in 2020.

Team 5 Associates (Dr. SONG Ke, Ms. ZHAO Junni, Dr. ZHANG Zhiming, Dr. GAO Yuan, Dr. CHEN Huicui) and 24 students

Courses: - Vehicle Technology - Exercises: Introduction, Car Body, Alternative Vehicle Drive Systems - Workshops/Seminar: Mobility for Tomorrow - Vehicle Technology (Block course)

Master thesis: (1) HE Yucheng, Laser Scanning Data Processing and Evaluation of Tire Tread Cutting. (2) YAN Xijiao, Fuel cell vehicle range extender turn-on timing optimization. (3) MAO Libo, Design of vibration damping controller for multi-mass elastic torsion transmission system. (4) ZHANG Yongqian, Analysis and Optimization of Data Loss of Distributed Test Platform for Vehicle Powertrain System Based on Internet. (5) WANG Sainan, Agricultural vehicle simulation optimization.

PhD thesis: (1) NIU Wenxu (School of Automotive Studies), Analysis and Optimization of Data Transmission of Distributed Test Platform for Vehicle Powertrain System Based on Internet. (2) GAO Haiyu (School of Automotive Studies), Research on Multi-Service Flow Real-time Control Method for FCV Powertrain System Test Platform.

Research Projects (public/government founded) 1) Research and development on fuel cell vehicle PT system Technology platform (Dec 2017 - Dec 2021) Project partner: China Automotive Technology&Research Center Co. Ltd, Tsinghua University, et al. Project Volume: RMB 15.000.000

2) Development of fuel cell powertrain system for industrialization (2015 - 2020) Project partner: Guangzhou Automobile Group Project Volume: RMB 7.000.000

3) Sino German Industry 4.0 Factory Automation Platform (I4TP) (Jan 2018 - Dec

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2020) Project partner: KIT, Bosch Rexroth, SCHAEFFLER, et al. Project Volume: RMB 8.360.000

Industry Projects 1) Bosch - Tongji Joint Lab (from 2018) Project partner: Bosch (China) Investment Ltd. Project Volume: RMB 3.200.000

2) Technical service for the new energy vehicle technology (from 2018) Project partner: D.R. Powertrain System Co., Ltd. Project Volume: RMB 1.500.000

3) New energy vehicle technology and demonstration promotion (from 2018) Project partner: Laiwu Shunhe Automobile Sales & Service Co., Ltd. Project Volume: RMB 1.500.000

Conference (1) Song, Z., Song, K., & Zhang, T. (2019). State-of-the-Art and Development Trends of Energy Management Strategies for Intelligent and Connected New Energy Vehicles: A Review (No. 2019-01-1216). SAE Technical Paper. (2) Gao, H., Zhang, T., Song, K., Niu, W., & Chen, H. (2019). Real-Time Testing Technology of Powertrain System in Proton Exchange Membrane Fuel Cell Electric Vehicles: A Review (No. 2019-01-0371). SAE Technical Paper. (3) An C, Li F., Niu W , et al. Analysis of Fuel Cell Electric Vehicles Energy Consumption Standard Demand in China[C]// IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2019. (4) Y. Zhang, F. Li, X. Hu, T. Zhang, C. Feng and K. Song. Fuel cell air supply system control based on oxygen excess ratio[C]// IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2019. (5) G. Tang, T. Zhang and X. Zhang. An Active Stabilization Control Strategy for DC- DC Converter Feeding Constant Power Load in Electric Vehicle[C]// 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference. IEEE, 2020.

National und international Publication (1) Chen, H., Zhao, X., Qu, B., Zhang, T., & Pei, P. (2019). Evaluating the Gas Distribution Quality of PEMFC in Dynamic Response: Severe Condition of Delayed Gas Supply. Energy Procedia, 158, 2290-2298. (2) Ye, X., Zhang, T., Chen, H., Cao, J., Chen, J. (2019). Fuzzy control of hydrogen pressure in fuel cell system. International Journal of Hydrogen Energy, 33, 8460-8466. (3) Chen, H., Zhao, X., Zhang, T., & Pei, P. (2019). The reactant starvation of the proton exchange membrane fuel cells for vehicular applications: a review. Energy Conversion and Management, 197, 111898. (4) Liu, B., Zhang, T., Pei, P. (2019). A vehicular proton exchange membrane fuel cell system co-simulation modeling method based on the stack internal distribution parameters monitoring. Energy Conversion and Management, 182, 282-298. (5) MA, R., ZHANG, T., WANG, X. (2019). Off-line Measurement of Nonlinear Inductance of Permanent Magnet Synchronous Motor. Power Electronics, 11, 58-60.

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(6) Xiao, C., Gao, Y., Zhang, T. (2019). Purge Simulation with Load of Proton Exchange Membrane Fuel Cell. Automobile Technology, 1, 13-17. (7) Mao, L., Zhang, T., Gao, Y. (2019). Design of vibration reduction controller for multi- mass elastic torsion system under different conditions. Internal Combustion Engine & Parts, 4, 26-29. (8) Gao, Y., Jin, T., Wu, X., & Zhang, T. (2019). The effect of fiber orientation on stochastic reconstruction and permeability of a carbon paper gas diffusion layer. Energies, 12(14), 2808.

Other Partner Companies / Organizations SAIC, GAC Group, JAC Group, BOSCH, , Shanghai FAW Group Corporation, D.R. Powertrain System Co., Ltd., Laiwu Shunhe Automobile Sales & Service Co., Ltd., Anhui Jianghuai Automobile Co., Ltd., CRRC TIMES ELECTRIC VEHICLE CO., LTD., China Association of Automobile Manufacturers, Society of Automotive Engineers of China.

International Scientists / Universities Technical University Brunswick, RWTH Aachen, University Karlsruhe, Fraunhofer Institute.

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Infineon Technlogies Endowed Chair for Microcontroller and Embedded Systems

Prof. Dr.-Ing. WU Zhihong

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The team consists of 2 professors, 5 Ph.D. candidates and 16 master students.

Courses: - Mondern drive technology - Microcontrollers and embedded systems - Embedded systems

Master thesis: (1) HAN Guangjiang: “Research on Torque Ripple Supression Strategy of PMSM for Vehicle”, 2019 (2) CHEN Gang: “ Security Research and Implementation of In ‐ Vehicle Ethernet Communication”, 2019 (3) ZHANG Changze: “A Filter Pruning Method of CNN Models Based on Feature Maps Clustering”,2020 (4) ZHANG Youyi: “Malware Detection based on Control Flow Graph for Multi‐platform”, 2020 (5) ZHANG Chi: “Optimized task assignment scheme for AUTOSAR multi-core operating system”, 2020 (6) GUAN Jianbin: “Software Development of Motor Control Unit Based on AUTOSAR Specification”, 2020 (7) LI Yizhou: “ Research on the Hardware ‐ In ‐ the ‐ Loop System of Three ‐ Phase Permanent Magnet Synchronous Motor based on VT System”, 2020

PhD thesis: (1) SU Xiezu: “IGBT Related Key Technologies Research for the Inverter in New Energy Vehicles”, Nov. 2019

Research Projects (public/government founded) 1) Functional Safety of E-motor Control System for xEVs (07.2016 - 12.2020) Project partner: Ministry of Science and Technology, “National Key Research and Development Plan” Project Volume: RMB 1,580,000 Projectdescription: 1. Definition of the software safety requirements 2. Software development of safety related functions based on Infineon Aurix microcontroller TC275 3. Real-time torque estimation of PMSM motor 4. Software testing 5. ASIL-C certificate for software as a SEooC (Safety Element out of Context) Project goal: 1 technical report on the Software, module “Torque estimation” issued by TÜV SÜD China (No. 18‐00031‐CER‐SHA‐00). The software module “Torque estimation” is compliant to ASIL C. 4 annual progress reports, 5 papers, 3 invention patents

Industry Projects Completed Project 1) Basic Software Development for GDI Engine Control Unit (02.2018-08.2019) Project partner: FAW

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Project Volume: RMB 862,500 Project description: 1. Realization of CAN/LIN communication software based on Vector AUTOSAR suite 2. Development of UDS driver and Dem module 3. Software integration and test Technical training 4. Testing and validation of estimation algorithm Project goal: software source code, 15 test reports, 15 design documents

2) Performance Optimization of Multicore OS (01.2019-12.2019) Project partner: UAES (a joint venture of Bosch and SAIC) Project Volume: RMB 370,000 Project description: 1. Realization of AUTOSAR multicore OS on AURIX TC277 2. Monitoring of multicore OS based on Gliwa T1 3. Optimization of multicore OS based on TA tools Project goal: design manual of AUTOSAR OS, 1 test report, 1 master’s thesis

Ongoing Projects 1) Functional Safety and Cyber‐Security According to AUTOSAR Specification (09.2017-12.2020) Project partner: SAIC Project Volume: RMB 800,000 Project description: 1. Realization of AUTOSAR multicore OS for ADAS domain control unit 2. Memory protection for different OS applications 3. E2E CAN communication 4. SafeWdg for alive supervision 5. Secure on‐board CAN communication Ethernet communication Project goal: software source code, 2 test reports, 1 master’s theses, 1 software e copyright for China, cryptography

2) Development of advanced automotive embedded software technology (12.2017- 12.2020) Project partner: Vector Automotive Technology (Shanghai) Co., Ltd Project Volume: RMB 3,500,000 Project description: 1. Configuration of AUTOSAR basic software on AURIX TC297 2. Technical training on AUTOSAR 3. Writing of a textbook on theoptimization of multicore OS 4. HIL development for software testing based on Vector VT system Project goal: software source code, 2 test reports, 3 master’s theses, 1 hardware schematics, 1 textbook on multicore OS

3) Research and Development of E‐motor Software based on Infineon TC275 and AUTOSAR (01.2016-03.2021) Project partner: Shanghai Intron Electronics Co., Ltd. Project Volume: RMB 3,500,000 Project description: 1. Development of low‐level drivers of Infineon TC275 MCU

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2. Application, monintoring and optimization of Vector multicore operating system 3. Development of XCP driver and VX1000 driver 4. Development of fault diagnostic system 5. Development of safety‐related software based on Vector AUTOSAR package 6. Development of ASIL‐C level application software Project goal: software source code, 10 software documents, 30 software test reports, 3 test report of bench experiments, 1 authorized invention patent

4) Research on automotive electronics technology (12.2018-12.2021) Project partner: Infineon (China) Technology Co., Ltd. Project Volume: RMB 300,000 Project description: 1. Development of reference solution to E‐motor controller 2. Learning of Infineon next‐generation microcontroler Aurix Project goal: 1 software source code, 1 shematics, 1 translation of some user’s manual

5) Software Development of Ethernet Communication According to AUTOSAR Specification (09.2019-12.2021) Project partner: FAW Project Volume: RMB 792,870 Project description: 1. Realization of AUTOSAR basic software on AURIX TC297, including XCP on Ethernet, Diagnostics over IP and so on 2. Technical training on AUTOSAR 3. Control algorithms for PMSM Project goal: software source code, 5 design documents, 5 test reports

6) Optimization of CPU load on the multicore OS (07.2020-02.2022) Project partner: FAW Project Volume: RMB 792,870 Project description: 1. Realization of AUTOSAR multicore OS on AURIX TC297 2. Monitoring of multicore OS by Gliwa T1 3. Optimization of CPU load by Vector TA toolset

Planned Projects 1) Research on AUTOSAR Adaptive Project partner: SAIC Project description: 1. Design of Ethernet communication protocol 2. Development of SOMEIP software stack by Vector DaVinci Adaptive IDE Project goal: software source code, 2 test reports, 1 master’s theses

Conference (1) 2019 International Conference on PCIM (Power Converter and Intelligent Motion) Asia, June 26‐28, 2018, Shanghai, China, Member of Directors and Session Chairman (2) 2019 IEEE Vehicle Power and Propulsion Conference (VPPC), Oct. 14‐17, 2019, Hanoi, Vietnam

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International Publications (1) WU Zhihong, SU Xiezu, ZHU Yuan, XIAO Mingkang. DC Link Capacitor Active Discharge by IGBT Weak Short Circuit. Paper No. 2019‐01‐0606, 2019 SAE World Congress, 2019, Detroit, USA (2) ZHU Yuan, XIAO Mingkang, LU Ke, WU Zhihong, TAO Ben. A Simplified Thermal Model and Online Temperature Estimation Method of Permanent Magnet Synchronous Motors. Applied science, Appl. Sci. 2019, 9, 3158 (3) LU Ke, ZHU Yuan, WU Zhihong, XIAO Mingkang. Suppression of Current Fluctuations and the Brake Torque for PMSM Shutoff in Electric Vehicles. Hindawi Mathematical Problems in Engineering Volume 2019, Article ID 5026316, 13 pages (4) ZHANG Chi, WU Zhihong, ZHU Yuan, DU Zhanzhi, WANG Endong. An Implementation of ETH and SOME/IP Communication Based on AUTOSAR. Information&Communications, 2020(2): 7‐12 (5) GUAN Jianbin, WU Zhihong, ZHU Yuan, CHEN Long, DU Zhanzhi. An Implementation of CAN FD Communication Based on AUTOSAR. Information&Communications, 2020(3): 5‐8 (6) WU Zhihong, GU Weisong, ZHU Yuan, LU Ke. A novel open‐phase fault detection method for dual Y shift 30 degrees permanent magnet synchronous motor. 2019 IEEE Vehicle Power and Propulsion Conference. Article number: 8952260, ISSN: 1938‐8756 (7) WU Zhihong, GU Weisong, ZHU Yuan, LU Ke. Current Control Methods for an Asymmetric Six‐Phase Permanent Magnet Synchronous Motor. Electronics 2020, 9, 172. (8) WU Zhihong, GU Weisong, LU Ke, GUAN Jianbin, CHEN Li. Current Harmonic Suppression Algorithm for Asymmetric Dual Three‐Phase PMSM. Appl. Sci. 2020, 10, 954. (9) WU Zhihong, GU Weisong, ZHU Yuan, CHEN Li, GUAN Jianbin. Current Regulator Design for Dual Y Shift 30 Degrees Permanent Magnet Synchronous Motor. Electronics 2020, 9, 777. (10) WU Zhihong, GU Weisong, ZHU Yuan, LU Ke. Current Control Method for Asymmetric Dual Three‐Phase Permanent Magnet Synchronous Motor in Vehicle, SAE Technical Paper 2020‐01‐0470, 2020 (11) ZHU Yuan, GU Weisong, LU Ke, WU Zhihong, GUAN Jianbin, CHEN Li. Current harmonic elimination method for Asymmetric Dual Three ‐Phase Permanent magnet synchronous motor. IET Electric Power Applications. 26 May 2020.SCI (12) ZHU Yuan, GU Weisong, LU Ke, WU Zhihong. Vector Control of Asymmetric Dual Three‐Phase PMSM in Full Modulation Range, in IEEE Access, doi: 10.1109/ACCESS. 2020. 2999647. SCI

National Publications (1) WU Zhihong, ZHAO Jianning, ZHU Yuan, LU Ke. Comparative Study on Application of Chinese Cryptographic Algorithms and International Cryptographic Algorithms in Vehicle Microcotrollers. Netinfo Security, 2019(8): 68‐75, ISSN: 1671—1122 (2) WU Zhihong, ZHAO Jianning, ZHU Yuan, LU Ke, SHI Fenglue. Research on In‐ Vehicle Key Management System under Upcoming Vehicle Network Architecture. Electronics 2019, 8, 1026; doi:10.3390/electronics 8091026 (3) ZHU Yuan, XIAO Mingkang, SU Xiezu, LU Ke, WU Zhihong, YANG Gang. IGBT Junction Temperature Measurement Under Active ‐ Short ‐ Circuit and Locked ‐ Rotor

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Modes in New Energy Vehicles. IEEE Access, 2020(8) 114401‐114412.SCI (4) ZHU Yuan, XIAO Mingkang, SU Xiezu, YANG Gang, LU Ke, WU Zhihong. Modeling of Conduction and Switching Losses for IGBT and FWD Based on SVPWM in Automobile Electric Drives. Applied Science, 2020(10) 4539.SCI

Patente (1) LU Ke, WU Zhihong, ZHU Yuan, XIAO Mingkang. Method and system for output voltage deviation correction of three‐phase inverter[P]. CN109245586B, 2020‐02‐14. (2) ZHU Yuan, LU Ke, WU Zhihong, XIAO Mingkang, LI Yizhou, LIU Chang. Method, storage medium and device for the motor control[P]. CN108809156B, 2020‐06‐02. (3) LU Ke, WU Zhihong, ZHU Yuan, XIAO Mingkang. Motor parameter estimation method and system based on thermal resistance network model[P]. CN109510544B, 2020‐07‐ 14. (4) LU Ke, WU Zhihong, ZHU Yuan, XIAO Mingkang. Online temperature fusion estimation method of motor rotor[P]. CN109596241B, 2020‐07‐14. (5) ZHU Yuan, ZHAO Jianning, WU Zhihong, LU Ke, ZHANG Changze, ZHANG Youyi. A Communication system for remote anonymous issuance and verification of connected vehicles[P]. CN109005035B, 2020‐07‐28

Other Partners Companies / Organizations Infineon Technologies AG, Vector Automotive Technology (Shanghai) Co., Ltd., SAIC, UAES, FAW

International Scientists / Universities Prof. Dr. Becker, KIT, Germany Prof. Dr. Braun, KIT, Germany Prof. Dr. Uwe Schäfer, TU‐Berlin, Germany Prof. Dr. Buchenrieder, UniBW, Germany Dr. Lorenz, Infineon Technologies AG Mr. Leteinturier, Infineon Technologies AG Technische Universität München Technische Universität Berlin Technische Universität Braunschweig Karlsruhe Institute of Technologie (KIT) Tsinghua University Zhejiang University

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Rheinmetall Automotive Endowed Chair for Automotive Engine Technology

Prof. Dr.-Ing. LI Liguang

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The team consists of 6 professors, 15 Ph.D. candidates and 37 master students.

Courses: - Low Carbon Automobile - Introduction of Automotive Engines - Energy and its Sustainable Development - Principle of ICE - Modern Design Methodology - Advanced Testing Technologies of ICE

Master thesis: ZHENG Jiaxin, ZHANG Yonghao, WANG Da, ZHANG Ran, WANG Qi, , CAO Rui, LI Minglong, XU Rufeng, CHEN Zihao, LI Wenpi, GAO Yu, WU Yonghong, CHEN Shushu, LI Mengdi

PhD thesis: Dr. GONG Yinchun, Dr. QIN Qiushi, Dr. CHAO Yuedong, Dr. HAN Benzhong

Research Projects (public/government founded) Completed Projects Development of ICE control system based on Compact RIO technology and the benchmark for control strategy of a hybrid vehicle, sponsored by JAC, Dec. 2019

Ongoing Projects 1) Project (1.1.2018 - 31.12.2020) Project partner: National Natural Science Foundation of China Project Volume: RMB 1800,000 Project Description: The project aims to research on the key scientific fundamentals and performance for a high efficiency, high compression ratio gasoline engine operating in SI and HCCI mode respectively and the mode switching process. Additionally, formatting mechanism and characteristics of ion current in high compression ratio gasoline engine will also be studied for intra-cycle control of avoiding extreme conditions such as misfire and knock. The project will focus on the effect of high compression ratio on HCCI operating range combined with dual Uni-valve system and intra-cycle combustion control based on ion current signal. High compression ratio is extremely challenging but beneficial for gasoline engine. More strategies such as lean and diluted combustion will help to achieve it on gasoline engine.

2) Project (1.1.2016 - 31.12.2019) Project partner: National Natural Science Foundation of China Project Volume: RMB 780,000 Project Description: For piston engines, a closed-loop cycle with direct-inject H2 into hot compressed Argon (Ar) in the cylinder, in which containing ~10% O2; in this way, Argon as the working fluid in a power cycle with oxygen/ H2 combustion, leads to the highest possible thermal efficiency and zero emissions. Meanwhile, exhausted Argon is re-circulated back into the

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engine intake and water produced from combustion is removed with a condenser. Hydrogen can be produced from fossil fuels or by electrolysis (>75% efficiency) using surplus electricity from emerging renewable electric power, such as wind power or from natural gas. In the latter case, the H2 becomes stored renewable energy that can be converted back to electricity, at any time, at >75% efficiency using an Argon power cycle. Recognizing challenges of H2 direct injection in a large bore engine, we propose research activities aimed at improving our predictive capability of injection of H2 (low density, high diffusivity) into hot Argon; and informing the choice of direct injection strategies for use in an Argon engine. High-speed imaging of experiments in a vitiated co-flow burner and in a high-pressure constant volume device in the applicant’s group at Tongji University will be performed in fundamental investigations for injection strategies using H2; H2+Ar into Ar+O2; or O2 into Ar+H2; and associated computational investigations will also be accomplished. The characteristics of mixing and combustion of H2/O2/Ar co-axial injection under reaction and non-reaction condition will be revealed. New knowledge on turbulent H2 jets into Argon will be generated, and form the basis for selecting optimal fuel injection strategies leading to continued worldwide development of the Argon engine.

Industry Projects (Completed Project) Completed Project 1) Project (2018.4.1-2019.12.31) Project partner: JAC Motors Project Volume: RMB 920,000 Project description: Development and application of rapid prototype control system using Compact RIO technology Project goal: Develop a rapid prototype ICE control system based on Compact RIO technologies and a data acquisition software and hardware to benchmark the control strategy of a hybrid vehicle.

Ongoing Projects 1) Project (2018.4.1-2019.12.31) Project partner: Jiangsu Riying Ltd. Project Volume: RMB 1,500,000 Project description: Design of Novel Clean System for Cameras and Radars in autonomous cars Project goal: Cleaning system development and research for camera and radar used in Autonomous Driving

2) Project (2018.10.1-2019.8.31) Project partner: Exxon Mobil Project Volume: RMB 275,000 Project description: Analysis on effect of additive of lubricant oil on GPF performance Project goal: Develop a quick aging system for GPF and evaluate the performance of GPF with different oil additives

International Journals (1) Guangyu Dong, Liguang Li, Denghao Zhu, Jun Deng, Ion Current Features of HCCI Combustion in a GDI Engine, Automotive Innovation (2019) 2:305–313

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(2) Guangyu Dong, Haifeng Lu, Zhijun Wu, Robert Dibble, Liguang Li, Effect of electric fields on the ion current signals in a constant volume combustion chamber, Proceedings of the Combustion Institute 37 (2019) 4865–4873 (3) Pice Chen, Woong Jung, Donald A. Walko, Zhilong Li,Ya Gao,Gopal L. Shenoy, Daniel López, Jin Wang*, Ultrafast photonic micro-systems to manipulate hard X-rays at 300 picoseconds, Nature Communication,2019,10(1):1158 (4) Zhijun Wu,Zhehao Zhang,Wenpi Li,Huaibo Chen,Zhilong Li,Jun Deng *, Morphology analysis on the effect of injection pressure on jet trajectory deviation of multi- jet sprays, Fuel, 2019,243:362-370 (5) Wei Xie , Zongjie Hu, Wenbo Zhao, Jiachen Zhai, Yufeng Wang, Liguang Li, Zhijun Wu *, Experimental and numerical studies on spray characteristics of an internal oscillating nozzle, Atomization and Sprays,2019,29(1):19~37 (6) Guangyu Dong,Zhiwei Feng,Liguang Li *,Haifeng Lu, The effect of electron ambipolar diffusion on the ion current signals in a premixed methane flame, Fuel, 2019, 256 (7) Zhijun Wu *,Wei Xie,Erbao Zhang,Yang Yu,Qiushi Qing,Jun Deng,Liguang Li, Investigation of flame characteristics of hydrogen jet issuing into a hot vitiated nitrogen/argon/carbon dioxide coflow, International Journal of Hydrogen Energy,2019, 44 (52): 28357-28370 (8) Zhe Kang*,Zhehao Zhang,Jun Deng,Liguang Li,Zhijun Wu*, Experimental Research of HighTemperature and High-Pressure Water Jet Characteristics in ICRC Engine Relevant Conditions, Energies,2019,12(9):1763 (9) Bo Liu*,Liguang Li,Piqiang Tan,Rui Jia,Qing Liu, Visual automatic obstacle avoidance technology research in unmanned vehicles, International Journal of Reasoning-based Intelligent Systems,2019, 11(1):65~75 (10) Zhijun Wu*,Wenbo Zhao, Zhilong Li,Jun Deng,Zongjie Hu,Liguang Li, A Review of Engine Fuel Injection Studies Using Synchrotron Radiation X-ray Imaging, Automotive Innovation,2019, 2(2):79~92 (11) Zongjie HU, Junjie Zhang, Sjöberg M, Wei Zeng, The use of partial fuel stratification to enable stable ultralean deflagration-based Spark-Ignition engine operation with controlled end-gas autoignition of gasoline and E85, International Journal of Engine Research, 2019: 1468087419889702.

International Conferences (1) Mengdi Li, Shipeng Li, Liguang Li, Jun Deng, Study on Diesel Atomization Characteristics for Hot Exhaust Gas Burner, SAE 2019-01-2238 (2) Qiushi Qing,Wei Xie,Kaifeng Pan,Jun Deng,Liguang Li,Zhijun Wu*, A Study on the Combustion Characteristics of a Methane Jet Flame in a Pressurized Hot Vitiated Co-flow, SAE Technical Paper,2019, 2019-01-0082 (3) Denghao Zhu,Yuedong Chao,Jun Deng,Zongjie Hu,Liguang Li*,Li Guan, Chen Yang,Yuan Shen, Combined Technologies for Efficiency Improvement on a 1.0 L Turbocharged GDI Engine, SAE Technical Paper,2019,2019-01-0233 (4) Jingtao Wu,Zhe Kang,Jun Deng,Zhijun Wu*,Liguang Li,Zhilong Li,Mingyu Shu,Heping Liang, Numerical Study of Intake Manifold Water Injection on Characteristics of Combustion and Emissions in a Heavy-Duty Natural Gas Engine, SAE Technical Paper, 2019, 2019-01-0562 (5) Wenbo Zhao, Yonghong WU, Zhilong LI, Liguang LI, Zhijun WU, Numerical

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investigation of the influence of needle motion on in-nozzle flow spray and spray jet orientation. 2019, 20th Annual Conference on Liquid Atomization and Spray Systems, Japan

Chinese Journals and conferences (1) HU Zongjie, ZHANG Junjie, GONG Huifeng, LI Liguang*. Analysis of Premixed Jet Flame Lift-Off Height of Droplet Streams Based on CO2 Infrared Thermal Imaging[J]. Journal of Tongji University (Natural Science), 2019, 47(5): 714-719 (2) HU Zongjie, LI Minglong, LIU Ting, LI Liguang*. Combustion and Emissions of Direct Injection Gasoline Engine in Constant-speed and Increasing-torque Conditions[J]. Journal of Tongji University (Natural Science), 2019, 47(6): 857-862+877. (3) KANG Zhe, JIANG Lang, DENG Jun, WU Zhijun*. Experimental Study on Effect of Water Injection Temperature on Combustion and Performance of In-cylinder Water Injection Diesel Engine[J]. Journal of Tongji University (Natural Science), 2019, 47(10): 1493-1499, 1532 (4) ZHENG Jiaxin; GONG Yinchun; ZHONG Huiping; DENG Jun; LI Liguang*, A Study on Injection Characteristics of Gaseous Oxygen Injection in Argon-Hydrogen Atmosphere, School of Automotive Studies, 2019, 41 (10): 1124-1129 (5) WU Jiangkang, DENG Jun, WU Zhijun*. Study on Microcosmic Atomization Characteristics of Water Spray for Manifold Water Injection in Gasoline Engine, Internal Combustion Engine & Parts, 2019,2019(16):27-30 (6) WU Yonghong, ZHAO Wenbo, HU Zongjie, WANG Yufeng, WU Zhijun *, Research on Influences of the Structure Parameters of Oscillating Nozzle on Spray Characteristics, Automobile Technology, 2019, 2019 (10): 28-33 (7) WANG Jinqiu, CHAO Yuedong, ZHU Denghao, DENG Jun, LI Liguang*. Effects of Different Dilution Methods on Fuel Consumption for Gasoline Direct Injection Engine under Different Compression Ratio[J]. Journal of Tongji University (Natural Science), 2019, 47(12): 1801-1808 (8) WU Jingtao, WU Zhijun, LI Liguang*, KANG Zhe, DENG Jun, Numerical Simulation of Impacts of Water Injection on Performance of Natural Gas Engines[J]. Journal of Tongji University (Natural Science), 2019, 47 (12): 1809-1816. (9) CAO Rui, KANG Zhe, ZHANG Zhehao, JIANG Lang, DENG Jun, WU Zhijun *, Effect of Direct Water Injection Mass on Combustion Process and Thermal Efficiency Within A Common Rail Diesel Engine, 2019 Annual Meeting of the Society of Automotive Engineers of China, IEE043, 789-796 (10) XU Rufeng, LI Mengchen, LI Minglong, ZHANG Ran, HU Zongjie *, YUAN Dengke, WU Zhijun, LI Liguang, Research on the Control Strategies of Speed Fluctuation of Internal Combustion Engine Extenders, Collection of Papers, 2019 Annual Meeting of the Society of Automotive Engineers of China, 2019: 341-346 (11) ZHANG Ren, LI Minglong, JIN Shaoya, HU Zongjie, XU Rufeng, YUAN Dengke, LI Liguang, Design and Development of an Embedded Control System for Internal Combustion Engine Range Extenders, Collection of Papers, 2019 Annual Meeting of the Society of Automotive Engineers of China, 2019: 734-741 (12) CHEN Zihao, ZHANG Zhehao, DENG Jun, LI Xiangchao, ZHANG Hong, WU Zhijun*, Experimental Study on the Effect of Water Injection in the Intake Tract on the Emissions of a Supercharged Gasoline Engine, Collection of Papers of the Annual Meeting of the Chinese Society of Automotive Engineering, 2019: 161-166 (13) ZHU Denghao, DENG Jun, DONG Guangyu, HU Zongjie, LI Liguang*, Raphael Dewor, Maximilian Wick, Jakob Andert, Ion Current–Based HCCI Engine Combustion

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Diagnosis and Control, Proceedings of the Chinese Society for Internal Combustion Engines Annual Meeting 2019 (14) CHAO Yuedong, DENG Jun, LI Liguang, Optimisation of Engine Emission Patterns Based on Heat Transfer Losses and Exhaust Gas, Proceedings of the Chinese Society for Internal Combustion Engines Annual Meeting 2019 (15) GAO Yu, XU Yuting, ZHANG Junjie, HU Zongjie *, WU Zhijun, LI Liguang, Study on Filament Pyrometer Measurement Method Based on Blackbody Calibration, 2019, Proceedings of the Academic Conference on Combustion of the Chinese Society of Engineering Thermophysics (16) ZHAO Wenbo, WU Yonghong, TAO Yitao, LI Zhilong, WU Zhijun*, Influence of Needle Valve Motion on Nozzle Inner Flow and Jet Morphology, 2019, Proceedings of the Academic Conference on Combustion of the Chinese Society of Engineering Thermophysics (17) DONG Guangyu, FENG Zhiyu, ZHU Denghao, LI Liguang*, Study on the Effects of Methane Flame Ion Flow at High Voltage, 2019, Proceedings of the Academic Conference on Combustion of the Chinese Society of Engineering Thermophysics (18) YU Yang, QU Zongjiang, XIE Wei, DENG Jun, WU Zhijun*, Study on the Ignition Temperature Boundary of Methane/Air Premixed Jets, 2019, Proceedings of the Academic Conference on Combustion of the Chinese Society of Engineering Thermophysics (19) ZHENG Lei, LIN Cheng, ZHANG Junjie, HU Zongjie*, LI Liguang, Study of Spontaneous Combustion at the base of n-heptane Droplet Streams Jet Flame, 2019, Proceedings of the Academic Conference on Combustion of the Chinese Society of Engineering Thermophysics (20) CHAO Yuedong, DENG Jun, LI Liguang, Impact and Control of Negative Valve Overlapping Injection on High Compression Ratio Combustion, 2019, Proceedings of the Academic Conference on Combustion of the Chinese Society of Engineering Thermophysics (21) FENG Zhiwei, DONG Guangyu*, ZHU Denghao, LI Liguang, Research on Natural Gas Engine Combustion Ion Current Detection, 2019 APC Academic Conference Papers Collection (22) MAO Weiyong, LI Minglong, CHEN Zhilin, LI Liguang, HU Zongjie, EGR Valve Control Strategy Simulation Study for Transient Operation Optimization, 2019 APC Academic Conference Papers Collection

Other Partners Companies / Organizations Zhejiang Group, Jiangsu Ri-ying Electric Co., Ltd., Yuchai Group., Exxon Mobil, JAC MOTORS

International Scientists / Universities Prof. Robert Dibble, KAUST/University of California, Berkeley, USA Prof. Ming Zheng, The University of Windsor, Canada Prof. Jakob Andert, RWTH Aachen University Prof. Eiji Tomita, Tokyo Denki University,Japan Dr. Jianmin GU, Valeo, China Dr. Weidi Huang, National Institute of Advanced Industrial Science and Technology, Japan Dr. Liming Cai, RWTH, Germany

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Getrag Endowed Chair for Vehicle

Transmission Technology

Prof. WU Guangqiang

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The team: Responsible professor: Prof. Wu Guangqiang Assistant: Associate Prof. He Dongwei Lecturer: Ju Lijuan Professor: Stephan Rinderknecht

Courses: Professor Stephan Rinderknecht visited TongJi University on Oct.7 in 2019 and gave a lecture in CDHK named “1. Automatic gearbox; 2. DCT and Electrification of vehicle drives; 3. Development Methodology”. Prof. Wu gave the lecture in CDHK, named “Research Status and Perspective of Automobile Transmissions”. A course named “Automotive drive and its control” was approved and will be instructed at CDHK for 54 teaching hours.

Master thesis: no information

Research Projects (public/government founded) Industry Projects Completed Projects 1) Project (2018.12-2019.8) Project partner: GETRAG (Jiangxi) Transmission Co., Ltd Project Volume: RMB 300,000

Planned Projects 1) Project (2020.9-2022.8) Project partner: GETRAG (Jiangxi) Transmission Co., Ltd. Project Volume: RMB 1,000,000

National and International Publications (1) Zhichao Lv, Guangqiang Wu. A novel method for clutch pressure sensor fault diagnosis[J]. Vehicles. 2020,2(1):191-209.

International Conferences (1) The 12th TM Symposium China ICE, (P)HEV and EV Transmissions and Drives, 13- 14 August 2020, Shanghai.

Other Partners Companies / Organizations No information

International Scientists / Universities No information

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Mubea Endowed Chair for Material Systems for Vehicle Lightweight Construction

Prof. Dr.

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The team consists of 3 professors, 5 Ph.D. candidates, 2 master students and 3 graduated students

Courses: - Modern Vehicles Design

Master thesis: (1) Ziyi Wang, Selection and Construction of Road Noise Active Control Reference Signal (2) Jianfeng Pan, Study on Dynamic Characteristics of Irregular Disc under Thermal Load (3) Jiaxu Li, Investigation on the Joining approaches for CFRP/Steel automotive parts (4) Huiru Shi, Fatigue performance of CFRP/CFRP components (5) Haobo Yu, Service performance of CFRP components in hot and wet environment

Ph.D. thesis: (1) Wenbo Li, Influence of Heterogeneous Contact Stiffness and Heterogeneous Friction Coefficient on Frictional Squeal, 2013-2019. (2) Xiyu Zhang, Multichannel feedforward-feedback control of vehicle road noise, 2015- 2020.

Research Projects (public/government founded) (1) Sub-project of National Key R&D Program of China: Research of Comprehensive Performance Test of Electric Wheel Assembly with Multi-dimensional Composite (2018-2021) Project Volume: RMB 600,000

(2) National Science Foundation for Young Scientists of China: Research on mechanism of brake friction hot spot based on occurrence and evolution of corrugated deformation (2018-2020) Project Volume: RMB 240,000

(3) The General Program of National Natural Science Foundation of China: Multi- body, multi-scale, non-smooth dynamic mechanism and integrated control method for brake frictional flutter (2016-2020) Project Volume: RMB 680,000

(4) Light weighting of automotive key castings and moulders. Sponsored by Ministry of Industry and Information Technology of China (2018 January)

(5) National Natural Science Foundation of Shanghai, China. A noval technology of joining dissimilar metallic thin-walled tubes using hybrid compression-bonding (2019-2021) Project Volume: RMB 200,000

Ongoing projects (1) Project (2017.10.1-2019.9.30) Project partner: Dalian yaming automobile parts co., LTD Project Volume: RMB 600,000

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Project description: The project aims to research on the intelligent manufacturing technology of key die- castings and moulders for automotive parts. Project goal/results: Aiming to enhance the product quality and efficiency of die-casting parts, the key parameters of manufacturing processes were investigated. A novel intelligent manufacturing system including the die-casting remote control platform and moulders machining center were proposed. Five papers have been published and indexed by SCI/EI.

Planned Projects National Natural Science Foundation of China: An investigation on the mechanism of hybrid compression-bonding plastic joining and its processes window for dissimilar metal thin-walled tubes

Industry Projects Completed Projects (1) Formability analysis for complex automotive panels, SAIC ; (2) Approaches of enhancing the formability of high strength steels B-pillar, Geely; (3) Springback compensation and die design for a fender, Baosteel Company; (4) Numerical and experimental study of noise and vibration in suspension corner system, Shanghai Huizhong automotive manufacturing co., LTD. (5) Manufacturability analysis of automotive panels for a new electric car

Ongoing Projects (1) Joining design of dissimilar material automotive parts (01.11.2017-31.12.2019) Project partner: SAIC Group Project Volume: RMB 500,000 Project goal: Investigation into the strength, stiffness and endurance performance of adhesive bonding, bolting and riveting and find a best solution for CFRP/Steel hybrid components in vehicles.

(2) Manufacturability analysis of automotive panels for a new electric car (1.3.2019- 31.12.2019) Project partner: CHangan Group Project Volume: RMB 700,000 Project goal: Formability analysis, springback compensation, die design and processes parameters optimization to provide a best solution for the autobody panels.

Planned Projects 1) Dimension precision improvement research for car body panels (12.2019-12.2020) Project partner: Shanghai Volkswagen Project Volume: RMB 300,000 Project goal: Optimization of assemblying processes and fixtures design optimization

2) Study the simulation method and key factors of 3in1 electrical drive system to optimize the NVH ability of the system (12.2018-12.2019) Project partner: Schaeffler Trading (Shanghai) Co., Ltd

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Project Volume: RMB 100,000 Project goal: Simulation model of electrical drive system Influence of key factor on NVH Optimization of electrical drive system

National and International Publications (1) Haiyan Yu, Huiru Shi, Siji Chen. A novel multi-cell CFRP/AA6061 hybrid tube and its structural multiobjective optimization. Composite Structures,2019,209:579-589. (2) HaiYan Yu, JiaXu Li, ZeZhen He. Formability assessment of plastic joining by compression instability for thin-walled tubes. International Journal of Advanced Manufacturing Technology, 2018,97: 3423-3430. (3) Siji Chen, Haiyan Yu, Jianguang Fang. A novel multi-cell tubal structure with circular corners for crashworthiness. Thin-walled structures.2018,122, 329-343. (4) Ping Xu, Haiyan Yu, Huiru Shi, et al. Kinematic hardening performance of 5052 aluminum alloy subjected to cyclic compression-tension. Numisheet2018, Journal of Physics Conference Series., 2018,1063(1), p 012119. (5) Lijun Zhang, Wei Xiao, Dejian Meng.Analysis of the Correlation between Driver’s Visual Features and Driver Intention[C] SAE World Congress & Exhibition 2019, USA, Apr. 9-11, 2019. (6) Dejian Meng, Bin Zhang, Jie Xu, et al. Effect of Brake Caliper and Its Restraint on the Thermo-Mechanical Coupling Characteristics of Disc Brake [J]. Journal of Tongji University (Natural & Science), 2018, 47(05). (7) Zhang, L., Zhang, X., and Meng, D., “Performance Testing and Analysis of Multi- Channel Active Control System for Vehicle Interior Noise Using Adaptive Notch Filter,” SAE Technical Paper 2019-01-1567, 2019.

Other Partners Companies / Organizations (1) Hebei Xing Lin Automobile Body Making Co. Ltd. (2) Tian Jin Motor Dies Company Ltd. (3) Brilliance Auto.

Others (1) Joined the SAE brake colloquium & exhibition -36th annual in Palm Desert, California, USA. Two papers were published. (2) Joined the 37th FISITA World Automotive Congress in Chennai, India. One paper was published. (3) Singed a contract about a book named ““Noise, Vibration, and Harshness of Electric and Hybrid Vehicles” with SAE International, and the first version has been finished and sent to SAE editor. (4) Applying for 3 invention patents. ①A Brake design method based on thermal machine coupled deformation test. ②A Zero phase online de-dc filter. ③An Automobile disc brake deformation recognition method

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Faculty of Mechanical Engineering

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Number of Research Projects 2019/2020 Faculty of Mechanical Engineering

Total number: 16

8 8

Public/Government funded Projects Industry Projects

Volume of Research Projects 2019/2020 Faculty of Mechanical Engineering Total volume in RMB: 25,941,500

¥4,800,000

¥21,141,500

Public/Government funded Projects Industry Projects

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Siemens Endowed Chair for Mechanical Engineering Informatics (SMI)

Prof. Dr.-Ing. SHEN Bin

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The chair benefits from the long-standing Tongji tradition in the field of computer-assisted production. Their work includes the adaptation and integration of the latest information technologies for the digitization and efficiency enhancement of technical valueadded processes in industry. The main objective of this chair is to contribute to improving the competitiveness of industry.

The team Team members In the report year, Mr. WANG Jiahai was hired as an associate professor at the chair. specialist supervisor Prof. Dr. Michael ABRAMOVICI, Chair for mechanical engineering and computer science at the Ruhr University Bochum. Students In the academic year 2018-2019, 2 PhD students and 34 master's students studied at the chair (seven Chinese students of them have completed their master study.)

Courses: - Information technology basics incl. software engineering - Computer-aided construction and work planning - Experimenting in modern production - Microassembly and assembly technology - Virtual product development

Master thesis: (1) Shen Jiahao: The Application of Deep Neural Networks in Expert System for Fault Diagnosis of Numerical Machines with TensorFlow (2) LU Zhongyan: Dynamic Modeling and Co-Simulation of Automated Production System Components (3) Chen Dongfeng: Fault Diagnosis and Fault Signal Prediction Based on Time Series Data Analysis Based on Sliding Window Model (4) Guo Zhi: Application Research of Product Life Cycle Management Based on CIM Database in Company A (5) Zhang Yu: Research on Dynamic Configuration of Material Box of Hydraulic Valve Assembly Workbench Based on Ergonomics (6) Chen Hao: Research and Implemented of Digital Twins of FMS based on Unity3D (7) Jiang Haibin: Study and Implementation of Smart Human-Machine Assembly System for Manual Assembly

Research Projects (public/government founded) Completed Project 1) Integrated application of intelligent plant technology in the production line of aerospace large thin wall structure (07.2016 - 06.2018) Project partner: Shanghai Institute for Aerospace Precision Engineering, supported by Shanghai Science Committee Project Volume: RMB 420,000,00 Project description: Integrated application of intelligent plant technology in the production line of aerospace large thin wall structure Project goal: 1. Modelling and Optimizing Production Line Layout

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2. Realtime – Simulation of Production Line

Ongoing Projects 1) Intelligent Manufacturing within Magnesium (lithium) Battery Production of Electric Vehicles (10.2017-09.2020) Project partner: Qinghai Green New Energy Technology Co., Ltd., Supported by China Ministry of industry and information Project Volume: RMB 300,000.00 Project goal: 1. Conceptualizing new methods for „Intelligent Manufacturing“ within Magnesium (Lithium) Battery Production for Electric Vehicles 2. Concept for MES

2) GERMAN-CHINESE COOPERATION FOR INTELLIGENT MANUFACTURING (INDUSTRIE 4.0) UND SMART SERVICES: Sino-German Industry 4.0 Factory Automation Plattform - Configurable Modules for Turnkey Production Systems (I4TP) (01.2018-12.2020) Project partner: Ministry of Industry and Information Technology of China. Project Volume: RMB 9.360.000 Project description: Prof. Fleischer and I are the coordinators of the 5 + 5 group of CDHK and KIT professors for the i4TP. The German and Chinese companies involved are Bosch Rexroth, Schaeffler AG, Schunk, SYMG, MicroCyber and ITEI. Project goal: The aim of the research project I4TP is therefore to develop a software-supported, model- based, German-Chinese factory automation platform for the quick and easy design and commissioning of turnkey production systems with integrated product consultation and the creation of tailor-made business models.

Industry Projects Completed Project 1) Application and enhancement of CNC fault diagnosis (09.2017-06.2019) Project partner: Central Research Institute of Siemens (China) Co. Ltd. Project Volume: RMB 695.000,00 Project description: Based on earlier studies on the ‘‘Expert system for remote diagnosis and forecasting of errors in CNC machine tools ‘, further improvements and expansions have been made to the subsequent functions. Project goal: 1. Examination of the system application 2. Analysing and Data Mining of historical records 3. Research on the semantic retrieval of error knowledge from CNC machine tools

Ongoing Projects 1) Machine Tool Health Management System in Intelligent Manufacturing (08.2018 - 12.2019) Project partner: Central Research Institute of Siemens (China) Co. Ltd. Project Volume: RMB 700.000,00 Project description:

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A type of machine tool is used as a research object to obtain the deterioration threshold, alarm threshold and normal working time, warning time and other specific parameters of the machine tool. Providing a model of the device state parameters and specific parameters of the model applied to a particular machine tool. Project goal: 1. Preparation of a needs analysis, a detailed plan and a detailed schema report by July 31, 2018; 2. Complete construction and implementation of an index system for evaluating the condition of machine tools, determining the machine tool type for the application test and setting up a test platform by November 30, 2018. 3. Complete decision support, system test and experimental verification by December 31, 2019.

Conference (1) The 4th International Conference on Smart Manufacturing and Industry 4.0 in 2018, 18.09.2018, Shanghai.

National and International Publications (1) Peng Jieyang, Wang Jiahai, Shen Bin. Influences of nanoscale particles and interparticle compression in electrodes on voltage hysteresis of lithium ion batteries[J]. Acta Phys. Sin. 2019,68(09):27-38. DOI: 10.7498/aps.68.20182302 (SCI/EI) (2) Peng Jieyang, Wang Jiahai, Shen Bin. Layout optimization of Aerospace Thin-walled Structures Based on simulated annealing algorithm [J]. Manufacturing Automation (CSCD) (3) Lu Zhongyan, Shen Bin, etc. Visualization of KPI of Assembly System based on OPC- UA Architecture [J]. Mechatronics,2018, 24(10):16-23. (4) WANG Jiahai, LV Cheng. Application of a Genetic Algorithm Combined with Simulated Annealing in Flexible Job Shop Scheduling, Digital Technology & Application, 2019, Vol.37, No.1:133-136. (CSCD) (5) WANG Jiahai, CHEN Yu. Data-driven Jop Shop Production Scheduling Knowledge Mining and Optimization, Computer Engineering and Applications, 2018, Vol. 54, No. 1: 264-270. (CSCD) (6) ZHANG Yu, WANG Jiahai, PENG Jieyang. Finite Element Simulation of Movement process of Reed Valve for Air-Conditioning Compressor, Journal of Jiamus University, 2019, Vol. 37, No. 2: 228-231.

Lectures (1) Shen Bin: “Artificial intelligence & intelligent manufacturing”, The 4nd International Conference on Smart Manufacturing and Industry 4.0 in 2018, 18.09.2018, Shanghai. (2) Shen Bin: mehr als 30 Vorträge in Foren für Smart Manufacturing & MES, 01.09.2018 – 30.06.2019, China

Other Partners Companies / Organizations SIEMENS Ltd., China, SIEMENS Industry Software Ltd., China, Siemens Numerical Control Co., Ltd. (Nan Jing), Rexroth Bosch Co., Ltd. (Chang Zhou), China Association for Mechatronics Technology and Application, Fertigungstechnische Kommission der China Association of Automation

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International Scientists / Universities Shanghai Jiaotong University Donghua University Shanghai University TU Shanghai Ruhr-Universität Bochum TU Berlin KIT TU Braunschweig Prof. Dr.-Ing. Michael ABRAMOVICI, Ruhr-Universität Bochum Dr.-Ing. Dieter KREIMEIER, Ruhr-Universität Bochum Prof. Dr.-Ing. Reiner DUDZIAK, Fachhochschule Bochum Prof. Dr.-Ing. Jürgen FLEISCHER, KIT Prof. Dr.-Ing. Albert ALBERS, KIT Prof. Dr.-Ing. Hermann WINNER, TU Darmstadt Prof. LI Haolin, TU Shanghai Prof. YANG Jianguo, Donghua University Prof. Li Beizhi, Donghua University Prof. Li Haolin, TU Shanghai Prof. PEI Renqing, Shanghai University Prof. CAI Jingda, TU Shanghai Dr.-Ing. Jürgen Grotepass, Huawei Muenchen

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Jungheinrich Endowed Chair for Technical

Logistics

Prof. Dr. -Ing. FANG Dianjun

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The Team includes 1 professor, 1 lecturer, 1 assistant and 14 master students.

Courses: - Factory Planning and Logistics Design - Logistics Technology - Material Flow Planning - Process-orientated Planning of Logistics Systems - Planung intralogistischer Systeme im internationalen Kontext

Master thesis: FANG Chen, Graduation time: 17. Juni 2020 LIU Jian, Graduation time: 17. Juni 2020

PhD thesis: David Scholz, TU Dortmund. Markus Stute, TU Dortmund. Ms. REN Xiaoxia, TU München. Ms. JIANG Hongyan, Tongji University.

Research Projects (public/government founded) Completed Projects 1) Efficiency Cluster Logistics Ruhr – Flexible Logistics Systems (10.2012 – 02.2015) Project partner: Fraunhofer Institute for Material Flow and Logistics / BMBF Project Volume: 25.000 EUR Project goal / results: (1) Intelligent logistics objects and cellular conveying systems (2) Decentralized control

2) Intelligent Monitoring Platform for Quality Traceability within the Meat Supply Chain (02.2013 – 12.2017) Project partner: Ministry of Science and Technology of the People’s Republic of China Project Volume: RMB 300,000 Project goal / results: (1) RFID implementation within the meat supply chain (2) Automatic data capture (3) Intelligent monitoring platform

Ongoing Projects 1) Research and Application of Interconnected Factory Model for Personalized Customization and Smart Logistics (01.2018 – 06.2020) Project partner: Ministry of Science and Technology of People Republic of China Project Volume: RMB 780.000 Project goal: (1) Sino-German technical cooperation, breaking through five key core technologies, promoting model innovation and the achievements transformation (2) Apply advanced technology to the Connected Factory model (3) To enhance the effects of horizontal integration, vertical integration and end-to-end integration, to create user value and corporate value.

2) Innovation Labs for Industry 4.0 Solution (07.2018 – 12.2020)

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Project partner: Fraunhofer-Institut für Materialfluss und Logistik / BMBF Project Volume: 25.000 Euro Project goal: (1) Market research on “Hybrid Logistics Service” for Chinese market (2) Coordination of the Chinese and German experts (3) Publication of the main research results together with German team (4) Attend international conferences and workshops in Germany

Planned Projects MOST: Folgeprojekt des 2+2-Projektes Project Volume: RMB 1 Mio.

Industry Projects Completed Projects 1.) Market analysis of WMS in China (09.2014 - 09.2015) Project partner: Jungheinrich China Project Volume: 0 Projekt goal: (1) To identify key players in this market, and understand typical products in this market and their profiles (2) To find out the main type of users/customers (3) To describe typical marketing procedure of the proposed product

Ongoing Projects 1) New Supply Chain Services in the Age of Industry 4.0 – Supply Chain 4.0 (12.2014 - 12.2018) Project partner: DL Logistics Co. Ltd. Project Volume: RMB 1,980,000 Project goal: (1) Logistics 4.0 in the Industrial Age 4.0 (2) Supply chain 4.0 in the Industrial Age 4.0 (3) New supply chain services (4) Applications at DL Logistics

2) Testing Platform for intelligent Technologies (12.2019 - 12.2021) Project partner: Sino-German Institute of Intelligent Technologies des deutsch- chinesischen Ökoparks in Qingdao Project Volume: RMB 490,000 Project goal: (1) Definition of intelligent technologies in logistics (2) Finding Digital Twin Platform (3) Concept of Testing Platform for intelligent technologies (4) Implementation support

Planned Projects 1) Research cooperation with Sino-German Institute of intelligent Technologies Project Volume: ca. RMB 500,000

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Conference (1) Forum on Supply Chain Digitalization and Logistics Assistant Systems, 6. September 2019, Organizer: Fraunhofer IML, Co-Organizer: CDHK. (2) Sino-German Logistics Forum and the 2nd ALUROUT Alumni Meeting in China, 20. November 2019, Organizer: Fraunhofer IML, Co-Organizer: CDHK. (3) Online Logistics Day on May 15, 2020, Organizer: CeMAT and Fraunhofer IML, Co- Organizer: CDHK. (4) “LT Logistics Technologies Conference”, 12. August 2020 in Shanghai, Organizer: SOO56 L and BVL, Co-Organizer: CDHK der Tongji Universität.

National and International Publications (1) Hongyan Jiang, Dianjun Fang*, Klaus Spicher, Feng Cheng, Boxing Li, A new period- sequential index forecasting algorithm for time series, Applied Sciences-Basel, Oct., 2019, SCI (2) Fang Dianjun, Development Trend of Warehouse Logistics Technologies, Journal of Logistics & Material Handling, 06. 2019 (3) Fang Dianjun, Made in China, the next development step, Journal of modern Logistics, 08, 2019

Lectures (1) 22.11.2019, “5G+ Industrial Internet for Whole Industry Chain”, World 5G Conference, 22. November 2019, Beijing. (2) 20.11.2019, „Opportunities and challenges of Chinese logistics in the age of industry 4.0“, „Sino-German Logistics Forum“, 20. November 2019, Qingdao. (3) 12.05.2020, „Development Strategy of Agile Supply Chain during Pandemic“, Tag der Logistik Online, 12.05.2020, Shanghai. (4) 28.08.2020, “New Growth in Smart Logistics with the Digitization Trend”, International Forum on „Digital Logistics and Smart Logistics“, 28. August 2020, Guangzhou.

Other Partners Companies / Organizations Sino-German Institute of intelligent Technologies Fraunhofer Institut für Materialfluss und Logistik NTI Logistics, Shenzhen DO Logistics China, Xinzhuang District, Shanghai DAMON Logistics, Industry Park, Huzhou Simplan China, Eco City, 9/F, Shanghai DL Logistics, Guangzhou Haier Group, Qingdao China Logistics Valley, Huzhou Bundesvereinigung Logistik e.V

International Scientists / Universities Prof. Dr.-Ing. Günther Pawellek, Technische Universität Hamburg-Harburg Prof. Dr.-Ing. Axel Kuhn, Technische Universität Dortmund Prof. Klaus Spicher, Fraunhofer Institut für Materialfluss und Logistik in Dortmund Prof. Dr.-Ing. Rainer Bruns, Helmut-Schmidt-Universität, Hamburg Prof. Dr.-Ing. W.A. Günthner, Technische Universität München

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Prof. Dr.-Ing. Johannes Fottner, Technische Universität München Prof. ZHANG Yun, Zhejiang University of Science and Technology, Hangzhou Prof. Dr. Michael ten Hompel, Fraunhofer IML in Dortmund Prof. Dr. Michael Henke, Fraunhofer IML in Dortmund Prof. Dr.-Ing. Kai Furmans, KIT, Karlsruhe

Membership in scientific associations BVL e.V., Regional Group Speaker for Shanghai chapter VDI e.V., Member Schmallenberger Kreis e.V., Member

Others Mercator Fellow des Graduiertenkollegs der Technischen Universität Dortmund; Aufsichtsrat von NTI Logistics Technologies AG; Beratung in Supply Chain Management für Huawei; Beratung in der Fabrikplanung für Haier; Strategie-Berater von Ping An Bank; Strategie-Berater von Sino-German Eco-Park in Qingdao; Director of Sino-German Institute of intelligent Technologies; Strategie-Berater von Bezirksregierung Wuxing, Huzhou.

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Contact Software Endowed Chair for

Development Methodology and Product

Reliability

Prof.Dr.-Ing. LIN Song

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The Chair for Development Methodology and Product Reliability (LEP) was founded in 2010 as an Endowment Chair at the Chinese-German university college (CDHK) of Tongji University (TJU) Shanghai, and in 2011 the chair was awarded to Prof. Dr.-Ing. (TU Dresden) .

The team consists of 3 scientific assistants, 2 mentors, 6 guest professors, 3 Ph.D candidates, and 19 master students.

Courses: - Introduction to research within engineering sciences - Methods of product development and construction - Experimentation in mechanical engineering - Advanced Intelligent Manufacturing Technology - Constructive development process (Block course)

Master thesis: (1) XU Chen, Master thesis: "Research on Intelligent Device Design and Function Reconfiguration Based on IoT" (2) ZHAO Youran, Master thesis: "Design and Application of High-speed Trajectory Guiding Device with Adjustable Dwell Function”"

PhD thesis: (1) ZHANG Yu, PhD thesis: „Displacement Analysis of Foldable V Polyeders Based on Double Quaternions“ (2) Wang Hanchao, PhD thesis: „Geometric Method of Spatial Connection Synthesis for Function Generation with Three Finite Positions“ (3) JIANG Jinyu, PhD thesis: „Design Methodology and Technology of a New Complex Variable Structure Mechanism for Robots “

Research Projects (public/government founded) Ongoing Projects 1) "Functional Integrated Intelligent compatible Mechanism System"-a symposium of the Chinese-German Center for Science Promotion (November 2019, delayed due to COVID- 19). Project partner: Technische Universität Dresden Project Volume: RMB 144,000 Project description: Technologies such as functional integration of intelligent materials, latest theories and technologies of intelligent mechanismsystems, artificial intelligence and stationary intelligent algorithms of technical systems, digital actuation and control. AI Design and application of transmission: Basic theory and design calculation. Single part as well as overall system. Experimental simulation and technology application Project goal: 1. Establishment of a sustainable exchange mechanism for long-term cooperation with

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young scientists. 2. Joint application for projects in respect of basic research, technology development and technology transfer by consensus. 3. The results of the joint projects will be presented in joint scientific publications of the scientific journals and at international Conference

Planned Projects 1) Geometric synthesis method of the general spatial closed loop mechanism based on the line model1) Project Volume: RMB 650,000 Project description: The kinematic synthesis problem of the spatial closed loop mechanism using the geometric synthesis method. Kinematic mapping model. Model topological structure. Motion geometry of discrete layer change. Figure between predetermined motion and solution gearbox Project Project goal: 1. A complete theoretical method. 2. An intuitive and consistent geometric synthesis method. 3. New ways to mechanical innovative design

Industry Projects Ongoing Projects 1) Construction of a high-speed cornering system with the associated control system (05.2018 - 05.2020) Project partner: Ruiguang (Shanghai) Elektroausrüstung Co., Ltd Project Volume: RMB 350,000 Project description: Innovation design of a high-speed corning system and its control unit. The highest frequency at 500 times per minute cannot meet future needs. Its existing design is too complex. It takes too much space and has too high cost. The current system needs to be improved in order to achieve a higher speed. Project goal: 1. The frequency of a curve motion is 1000 times per minute. 2. The size and types of the product should meet the individual requirement.

2) Construction of the composite feed unit for a double aluminium packaging machine (04.2019 - 03.2021) Project partner: Shanghai-Tabak-Maschinen GmbH Project Volume: RMB 500,000 Project description: Transmission design for a double aluminium package machine, Research, development, design and manufacture of a composite feed unit for a double aluminum packaging machine. This mechanism consists of one package, two sliders and various output shafts. (drive shafts?). A transmission system is to be designed and proposed for a new solution variant. In addition, the design errors that have arisen during production, Assembly and maintenance shall be eliminated.

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Project goal: Completion of the development of the composite feed mechanism of the double aluminum packaging machine. Compliance with packaging requirements: the diameter of the cigarette is 6.36 mm, the length of the cigarette is 89 mm and the cigarettes are placed in the box (5-5) × 2. How it works: the first slider pushes the aluminium packaging into the mould box, which is then packed. The second slider pushes the combined aluminium packaging out of the mould box and completes the entire aluminium packaging and the packaging process.

National and International Publications (1) Wang H, Lin S. Geometric synthesis method for function generation of steering control mechanism with four positions[C]//IFToMM World Congress on Mechanism and Machine Science. Springer, Cham, 2019: 1431-1440. (EI) (2) Zhang Y, Lin S, Jiang J. A Novel Dual-Matrix Method for Displacement Analysis of Spatial Linkages[C]//IFToMM World Congress on Mechanism and Machine Science. Springer, Cham, 2019: 387-396. (EI) (3) Zhang Y, Lin S, Song Z. Compliant Mechanism Synthesis for Guidance Task Based on Geometrical Similarity Transformation[C]//IFToMM World Congress on Mechanism and Machine Science. Springer, Cham, 2019: 2401-2410. (EI) (4) Song Lin, Hanchao Wang, Yu Zhang, Jingyu Jiang. Kinematic geometry description of a line with four positions and its application in dimension synthesis of spatial linkage. Journal of Mechanisms and Robotics, 2020, 12(3), p. 031006. (SCI) (5) , Song Lin, Hanchao Wang, Yizhong Fan. The Application of the Transformation of Different Surfaces of Space Movement in the Dimensional Transformation and Innovative Design of Mechanism. Machinery, 2020, 05(47): 1-11. (6) Peiyao Yuan, Song Lin, Hanchao Wang. Three-position function synthesis of spatial linkage mechanism based on geometric method. Machinery, 2019, 46(11): 16-21.

Other Partners Companies / Organizations BECKHOFF Automation (Shanghai) Co., Ltd., Yunnan Kunming Shipbuilding Electronic Equipment Co., Ltd

International Scientists / Universities Tianjin University Ruhr-Universität Bochum Prof. Dr.-Ing. habil. Karl-Heinz Modler (TU Dresden) Prof. Dr.-Ing. habil. Werner Hufenbach (TU Dresden) Prof. Dr.-Ing. habil. Burkhard Corves (RWTH Aachen) Prof. Dr.-Ing. habil. Maik Berger (TU Chemnitz) Prof. Dr.-Ing. Cebulla (TU Chemnitz) Prof. Dr.-Ing. Niels Modler (TU Dresden) Dr.-Ing. Uwe Hanke (TU Dresden)

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Bosch Rexroth Endowed Chair for Automation & Electrification Solutions

Prof. Dr.-Ing. ZHANG Weimin

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The team Chair holder Prof. Dr. ZHANG Weimin Staff: Mr. LI Dongdong, Mr. ZHU Jiawei Assistants: Mr. XIE Shulian, Mr. XUE Feng, Mr. WANG Jinye Students Supervised master’s students (20 Persons) Supervised PhD students (7 Persons) Supervised double master’s students (2) and double doctoral candidates (2)

Courses: - Manufacturing Technology Basics - Mechanical Engineering Technology - Basic Manufacturing Technology - Production Systems II - Technical management - Modern manufacturing technology, especially tensioning technology

Master thesis: (1) ZHANG Honghao (double master student at TU Braunschweig). Investigation of convolutional neural networks for the defects detection of electrode surfaces in Lithium- ion battery assembly, 2019.9. (2) Philipp Dreizehnter (Study at KIT). Establishment of a Key Performance Indicator System for the Evaluation of Sensor Data to Increase the Efficiency of the Production of SMEs, 2019.10. (3) Dennis Sommer (double master student at TU Braunschweig). Concept for the Deployment of 5G Network in the AMTC Testbed. Tongji University, 2019.11. (4) SHANG Tengfei. Research on Digital Twin for Preventive Maintenance of Bearing of CNC Machine Tool. Tongji University, 2020.3. (5) ZHOU Wei. Modeling and Implementation of Asset Reliability Data Acquisition for CNC Machining Unit. Tongji University, 2020.6. (6) LIN Wenbo (double master student at KIT). Design and Implementation of UMATI- oriented Machine Tool Communication Interface. Tongji University, 2020.6. (7) HE Linxi (double master student at n RUB). Research of Simulation for Workspace Monitoring in Human-Robot Collaboration. Tongji University, 2020.6. (8) YAN Ze (double master student at KIT). Configurator Modeling for Turnkey Manufacturing System Construction. Tongji University, 2020.7.

PhD thesis: (1) LIU Zhaohui. Research on Modeling of Extended Carbon Emissions in Manufacturing Systems, Tongji University, 2019.9. (2) SUN Jiabin. Static and Dynamic Characteristics Research of Industrial Robot in Whole Workspace for Milling Process. Tongji University, 2020.01. (3) Sabrina Rechkemmer. Lifetime modeling and model-based lifetime optimization of Li- ion batteries for use in electric two-wheelers. Tongji University and University Stuttgart, 2020.05.

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Research Projects (public/government founded) Ongoing Projects 1) German-Chinese Cooperation for Intelligent Manufacturing (Industry 4.0) and Smart Services: Sino-German Industry 4.0 Factory Automation Platform - Configurable modules for turnkey production systems (I4TP) (01.2018-12. 2020) Project partner: Ministry of Industry and Information Technology of China Project Volume: RMB 9,360,000 Project description: Prof. Fleischer and myself are acting, on behalf of i4TP, as coordinators of the 5+5 group of CDHK and KIT professors. The companies involved, from Germany and China, are Bosch Rexroth, Schäffler AG, Schunk, SYMG, MicroCyber, ITEI. Project goal: The goal of research project I4TP is therefore developing a software-driven, model-based, German-Chinese plant automation platform to permit fast and easy conception and launch of turnkey production systems with integrated product consultation, and for creating customized business models.

2) Industrial protocol resolution technology research and data conversion module development. 2019 Industrial Internet Innovation and Development Project – Edge Agreement Analysis and Management Project. (01.2019-12. 2020) Project partner: Ministry of Industry and Information Technology of China Project Volume: RMB 500,000 Project description: Different heterogeneous industrial protocols lead to a lot of effort in the connection between OT and IT systems for intelligent manufacturing and IIoT. By analyzing different protocols, an abstract method for connecting the systems with different protocols is developed. Project goal: The aim of the research project is therefore to develop a method for connecting the systems with different protocols.

3) Industrial internet tag resolution of secondary node (Machine tool industry application service platform). 2019 Industrial Internet Innovation and Development Project. (01.2020-12. 2021) Project partner: Ministry of Industry and Information Technology of China Project Volume: RMB 500,000 Project description: The machine tool is an important tool in industrial production in the era of intelligent manufacturing. The machine tool industry is faced with the question of how the synergy effect of machine tool construction, supply chain, full-life-cycle-management and other processes can be improved. Among other things, product traceability capacities are also to be strengthened. Industrial Internet Tag Analysis will be able to meet these industry demands. The industrial internet identity resolution of the secondary node provides the identity registration and analysis services for the machine tool industry. The second level nodes are intended to assume the role of the top level nodes down to the corporate nodes. Tag analysis is an important solution to the problem of corporate integration and innovation. It plays a special role in realizing the vertical integration of machine tool manufacturers, manufacturing companies and innovative applications.

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Project goal: The industrial Internet tag analysis coding system tailored to the machine tool industry and the development of technical standards. In detail, this includes the specific Internet tag analysis of the application service platform management for second-level nodes. In addition, the operational specifications for the research and development of topic-related content.

Planned Projects (1) Application for the national key R&D program "Third MOST-BMBF joint call of proposals in “Intelligent Manufacturing (Industry 4.0) and Smart Services”. The ITEI and RU Bochum are potential partners here. (2) Application for the BMBF joint research project “EAST CITIES - Establishing and Achieving Sustainability Targets in Eastern Chinese Cities”. The contact person here is the TU Braunschweig.

Industry Projects Completed Projects (1) Investigation of the local machining of the coupling parts. Schaeffler China. (2) ARaymond ultrasonic welding process development. ARaymond China. (3) Future metrology for Chinese market. ZEISS China. (4) SCHUNK Product Demand Analysis and Functional Validation. SCHUNK Intec Precision Machinery Trading (Shanghai) Co., Ltd.

Ongoing Projects (1) on OPC UA @ Cellular Network based smart manufacturing test bed (08. 2018- 08.2019) Project partner: HUAWEI TECHNOLOGIES CO., LTD. Project Volume: RMB 300,000 Project description: Developing a new connection concept to utilize 5G LTE Technology in the workshop Project goal: At AMTC a test bed is created for testing and demonstrating IoT with 5G LTE Technology.

(2) Developing a test facility for measuring negative wheel hub bearing clearance (04.2018-04.2019) Project partner: Jinggong Project Volume: RMB 240,000 Project description: Negative wheel hub bearing clearance constitutes an important parameter for measuring wheel hub bearings. It is impossible to directly measure negative clearance. After exciting the hub bearing, vibrations are measured and the obtained data are processed thus indirectly calculating negative clearance values. Project goal: Developing a test facility for measuring negative wheel hub bearing clearance. This test facility represents a link within a transfer line for assembly of the wheel hub bearing.

(3) Industry 4.0 in manufacturing (08.2018-12.2020) Project partner: Suzhou ruhlamat Smart Technologies Co., Ltd. Project Volume: RMB 240,000 Project description:

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Application of ruhlamat's own IIoT platform to collect and analyze data from production. For this purpose, a system must be designed and set up that can handle the machine- related communication. Project goal: Research into the handling of machine data interfaces. Available through a code base and a demonstration environment with data adapters, storage, analysis and monitoring functions. In addition, a computer vision using machine learning for manufacturing systems that could be useful for ruhlamat.

Planned Projects (1) Intelligent logistics planning based on 5G as well as intelligent analysis and optimization of manufacturing processes. The project partner is Delta (Beijing).

Conferences (1) Liu Zhao-hui, Zhang Wei-min, Xiao Zhong-yue, Sun Jia-bin, Li Dongdong. Research on Extended Carbon Emissions Accounting Method and Its Application in Sustainable Manufacturing. Sustainable Manufacturing - Hand in Hand to Sustainability on Globe: Proceedings of the 17th Global Conference on Sustainable Manufacturing. Procedia Manufacturing. Volume 43, 2019, Pages 175-182. (2) ZHANG Weimin. 5G as An Enabler for Modern Process Control in Machine Tools. ICSM 2019, Shanghai, 25. October 2019 (3) Weimin Zhang, Cai, Junying Min, Jürgen Fleischer, Christopher Ehrmann, Christopher Prinz, Dieter Kreimeier. 5G and AI Technology Application in the AMTC Learning Factory. Learning Factories across the value chain – from innovation to service – The 10th Conference on Learning Factories 2020, Procedia Manufacturing. Volume 45, 2020, Pages 66-71. (4) ZHANG Weimin. Industry meets 5G - 5G test bed with HUAWEI and China Telecom. 16th China Machine Tool Management Meeting – VDW Online Meeting. 18. June 2020. (5) ZHANG Weimin. 5G+AI Application for Industry. The 16th China International Metalworking Summit 2020, Shanghai. 26. August 2020.

International Publications (1) Yong Yang, Wei-Min Zhang, Qi-Xin Z, et al. Dynamic Characteristic Optimization of Ball Screw Feed Drive in Machine Tool Based on Modal Extraction of State Space Model[J]. IEEE Access, 2019, 7:55524-42. (SCI) (2) Dong Xinfeng, Zhang Weimin. Chatter suppression analysis in milling process with variable spindle speed based on the reconstructed semi-discretization method[J]. International Journal of Advanced Manufacturing Technology, 2019, 105(5-6), 2021- 2037. (SCI) (3) Rechkemmer Sabrina Kathrin, Zang Xiaoyun, Zhang Weimin, et al. Lifetime optimized charging strategy of Li-ion cells based on daily driving cycle of electric two-wheelers[J]. Applied Energy, 2019, 251. Article Number: 113415, Published: OCT 1 2019. (SCI) (4) Rechkemmer Sabrina, Zang Xiaoyun, Zhang Weimin, et al. Towards a Shanghai electric two-wheeler cycle (SE2WC) [C] //2019 12th ASIAN CONTROL CONFERENCE (ASCC), Kitakyushu, Japan. pp319-324. (5) Linxi He, Glogowski P, Lemmerz K, Kuhlenkoetter B, Weimin Zhang. Method to Integrate Human Simulation into Gazebo for Human-robot Collaboration[C] //2020 5th International Conference on Mechanical, Manufacturing, Modeling and Mechatronics

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(IC4M 2020), IOP Conference Series: Materials Science and Engineering, v825, 012006, 2020. (6) Weimin Zhang, Weinan Cai, Junying Min, Jürgen Fleischer, Christopher Ehrmann, Christopher Prinz, Dieter Kreimeier. 5G and AI Technology Application in the AMTC Learning Factory[J]. Procedia Manufacturing, 2020, 45: 66-71. (The 10th Conference on Learning Factories 2020) (7) Ziwei Jia, Weimin Zhang, Dongdong Li, et al. 5G MEC Gateway System Design and Application in Industrial Communication[C] //2020 the 2nd World Symposium on Artificial Intelligence (WSAI 2020), Guangzhou, China, June 27-29, 2020. (Accepted by IEEE Xplore)

National Publications (1) Jiang Tao, Zhang Weimin. Finite element vibration analysis of single-pillar stacker[J]. Machinery Manufacturing, 2020,58(02):38-40+92. (2) Xie SL, Li DD, Zhang WM, Fleischer J, et al. Information reference architecture of turnkey project based on RAMI4.0[J]. Computer Integrated Manufacturing Systems, 2019, 25(12): 3081-3089.

Other Partners Companies / Organizations BOSCH Rexroth China Shenyang Machine Tool (Group) Co., Ltd. iSESOL Huawei Technologies Co., Ltd. SCHUNK Intec Precision Machinery ZEISS China Schaeffler (China) Co., Ltd. EMAG China DMG China Suzhou ruhlamat Smart Technologies Co., Ltd. WANXIANG Jinggong

International Scientists / Universities Prof. FLEISCHER, wbk, KIT Prof. KREIMEIER, Lehrstuhl für Produktionssysteme an der Ruhr-Universität Bochum Prof. KUHLENKÖTTER, Lehrstuhl für Produktionssysteme an der Ruhr-Universität Bochum Prof. SAWODNY, Universität Stuttgart Prof. WINNER, TU Darmstadt Prof. HERMANN, TU Braunschweig

Membership in scientific associations Member of the Board of the Chinese University Association “Production Automation” Member of Contemporary Management Specialty Commission of SAEC (Society of Automotive Engineers of China) Member of Chinese Mechanical Engineering Society

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Faculty of Electrical Engineering

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Number of Research Projects 2019/2020 Faculty of Electrical Engineering 0 Total number: 5

5

Public/Government funded Projects Industry Projects

Volume of Research Projects 2019/2020 Faculty of Electrical Engineering Total volume in RMB:30,536,000 ¥0

¥30,536,000

Public/Government funded Projects Industry Projects

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TÜV SÜD Endowed Chair for Reliability and

Safety of Technical Systems

Frau Dr. YIN Huilin

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Since February 2011, TÜV SÜD has been supporting the Chair of Reliability and Safety of Technical Services at CDHK of Tongji University. Generally, CDHK strives to ensure multilingual training of well-qualified Master students. Through courses held by the Chair and research projects, students have the opportunity to acquire knowledge and awareness of reliability and safety.

The Chair Team includes 2 professors (chair holder Prof. Dr. YIN Huilin and Prof. Dr. GE Wancheng), 2 Ph.D. candidates (Mr Msc.YAN Jun und Ms Msc. LIN Jia) and 9 Master students.

Courses - Lecture on Reliability and Measurement Technology (language: Chinese and German) - Lecture on Modern Automation Technology (language: Chinese) - Block Lectures: Engineers in Professional Practice. Participants: Chinese and German students (Lecturer: Dr. Alfred Hauenstein)

Master thesis (1) WANG Jie. Research on Vehicle Trajectory Prediction Based on Recurrent Neural Network. Januar 2020 (2) WANG Yawei. Research on Event and Two Stream Fusion for Pedestrians Detection. Januar 2020 (3) REN Lei. Research on Influence Factors of Environment Perception for Automated Driving. Mai 2020. (4) HOU Liushuai. Analysis of the uncertainty of environment perception and key scenarios of autonomous driving. Mai 2020.

Research Projects (public/government founded) Ongoing Projects 1) NSFC (Natural Science Foundation of China) Projekt Project title: "Functional model and implementation method of situation assessment for automatic driving environment cognition" Fund volume: 180.000 RMB Project period: January 2018 - December 2020. Project summary: There is still a big gap between the cognitive level of automatic driving systems and the cognitive level of human drivers. The automatic driving can't handle complex traffic conditions reliably. How to improve the environment cognitive ability of the automatic driving system is a key problem to be solved. In order to solve this problem, this project researches on the situation assessment of automatic driving based on the cognitive mechanism of human drivers and the high-level fusion of multi-source information. Firstly, the functional model of situation assessment for automatic driving is proposed based on human driving cognition mechanism including the hierarchical memory mechanism and the selective attention mechanism. With the analysis of the mapping between human driving and automatic driving, the three-layer decomposition of object perception, situation understanding and situation prediction is combined with feedback structure. Then, the implementation method for situation assessment is investigated based on Hierarchical Factor Graph. With the analysis of the spatial and temporal relationship and interaction of factors, objectives and events, the modeling and reasoning of the Hierarchical Factor

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Graph are investigated. Through the in-depth research, this project proposes the functional model and implementation method of situation assessment for automatic driving, which can improve the cognitive level of automatic driving system. At the same time, it can enrich and promote the research of information fusion model, method and application.

2) MOST (Ministry of Science and Technoloty) "the 13th Five-year" key project: "Full state parameter estimation, complex environment perception and multi- source information fusion for intelligent electric vehicle" Fund volume: 710.000 RMB Project period: Juli 2016 - December 2020. Project summary: This project researches the full state parameter estimation, complex environment perception and multi-source information fusion for intelligent electric vehicle. The characteristics of the electric drive system of intelligent electric vehicle will be concerned. The incomplete, inconsistent and uncertain visual and auditory information will be processed. Based on the spatio-temporal association mechanism, the multi-layer deep learning information fusion will be done. The integrated situational awareness theory for "human vehicle environment" system will be constructed. The integrated situational awareness method will be researched, which includes three factors, "Driving intention identification and driving state monitoring" "Full state parameter estimation of vehicle for vehicle failure risk prediction" and "Complex traffic environment perception for environmental hazard risk prediction".

3) MOST (Ministry of Science and Technology) "the 13th Five-year" key project: "Research on evaluation theory of automated electric vehicles - Research on the risk assessment theory for AEV SOTIF (Safety of the Intended Functionality)" Fund volume: 450.000 RMB Project period: Mai 2018 - December 2020. Project summary: The test and evaluation technology of automated electric vehicles (AEV) is a key basis to support the development of AEV technology. However, the evaluation object of AEV test has changed from the traditional dual system of human-vehicle to the human-vehicle-environment-task strong coupling system. The test scenarios and test tasks are hard to exhaust, and the evaluation dimensions are complicated. At present, a complete AEV test and evaluation system has not been established worldwide, and its core technology is in urgent need of breakthrough. So in this project, the following five points are researched: 1. Interactive features of highly complex systems "human - car - environment - tasks", 2. Risk analysis and identification methods suitable for AEV complex systems, 3. Risk control evaluation methods of “machine driver”, 4. Assessment of the identified risks, combined with the safety integrity level assessment model, 5. Eventually, AEV SOTIF assessment model is established.

Planned Projects 1) NSFC (Natural Science Foundation of China) project "Research on security deep learning of environment cognition for automated driving" was applied for in April 2020. The approval was announced in September 2020. 2) New projects related to reliability and safety of autonomous driving, and applying for financing at the administration of Shanghai, NSFC (Natural Science Foundation of China) or MOST (Ministry of Science and Technology). 3) Applying for a Chinese-German cooperation project with Munich Technical University.

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Conferences (1) Ren Lei, Yin Huilin. Environment influences on uncertainty of object detection for automated driving systems. 12th International Congress on Image and Signal Processing. Oktober 2019. (2) Hou Liushuai, Yin Huilin. High-order uncertainty of LiDAR for environment perception in automated driving systems. 12th International Congress on Image and Signal Processing. Oktober 2019. (3) Huilin Yin, Yawei Wang, Zhuangyi Jiang, Walter Stechele, Alois Knoll. 3D-CNN based Frame-Event Fusion for Pedestrian Detection. The 16th International Conference on Control, Automation, Robotics and Vision (ICARCV 2020). Submitted.

National und international Publications (1) YIN Huilin, WU Shuli, WANG Yawei, WANG Jie. An intelligent vehicle environment perception and situation cognition model based on hierarchical factor graph. Control and Decision. 1-7[2020-08-24]. https://doi.org/10.13195/j.kzyjc.2019.0049.9 (2) YUAN Ziye, YIN Huilin, WU Shuli. Research on Fusion Localization for Automated Driving based on Factor Graph. Journal of Automotive Engineering. 2019, 9(04):243- 251. (3) Huilin Yin, Jie Wang, Jia Lin, Daguang Han, Chunli Ying, Qian Meng. A Memoryattention Hierarchical Model for Driving-behavior Recognition and Motion Prediction. International Journal of Automotive Technology. Accepted. (4) Jun Yan, Zifeng Peng, Huilin Yin∗, Jie Wang, Xiao Wang, Yuesong Shen, Walter Stechele, Daniel Cremers. Trajectory Prediction for Intelligent Vehicles Using SpatialAttention Mechanis. IET Intelligent Transport Systems. Revised. (5) Jian Nie, Jun Yan, Huilin Yin*, Lei Ren, Qian Meng. A Multimodality Fusion Deep Neural Network and Safety Test Strategy for Intelligent Vehicles. IEEE Transactions on Intelligent Vehicles. Accepted.

Lectures (1) Huilin Yin. Environment influences on uncertainty of object detection for automated driving systems. 12th International Congress on Image and Signal Processing. Oktober 2019. (2) Huilin Yin. High-order uncertainty of LiDAR for environment perception in automated driving systems. 12th International Congress on Image and Signal Processing. Oktober 2019.

Cooperation partners in Germany: TU München, Herr Prof. Schrüfer FH Magdeburg, Herr Prof. Dr. Ding Yongjian Hochschule für angewandte Wissenschaften Kempten, Herr Prof. Bernhard Schick

Cooperation partners in China: CATARC (China Automotive Technology & Research Center) SAIC (Shanghai Automotive Industry Corp. Group) Fakultät für Fahrzeugtechnik, Tongji Universität, Dekan, Herr Prof. Dr. ZHANG Lijun Fakultät für Fahrzeugtechnik, Tongji Universität, Herr Prof. Dr. XIONG Lu Fakultät für Physik, Tongji Universität, Frau Prof. Dr. MA Yan

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Stihl Endowed Chair for Electrical Engineering and Computer Science

Frau Dr. LI Li

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The Chair Team includes 1 responsible professor (Prof. Li Li), 4 assistants (Prof. Yi Peng, Prof. Lei Jinlong, Prof. Dong Yi, Associate Prof. Lin Kuo-yi and Associate Prof. Guo Weian), 11 Ph.D. candidates and 8 Master students.

Courses - System Analysis and Optimization - Multi-agent distributed optimization and matrix equation computation - Ax=b in Complex Network Systems - Quantum Measurement and State Estimation in Circuit QED - Manufacturing informatics: Embracing Advanced Data Analytics for Smart Manufacturing - Tongji University-Young Scholar Forum in Autonomous Intelligent System - Machine Learning Enabled Quality Improvement in Smart Manufacturing - Shanghai University Leagues Forum for International Young Scholars

Master thesis (1) LIU Wenqing, Research on the Defense Strategy for Image Adversarial Attack (2) ZHAO Zhen, Crowd Counting Methods Under Limited Supervision (3) JIAO Yueming, Feature Generation Based on Knowledge Graph

PhD thesis: (1) YU Qingyun, Dynamic Scheduling Method with Performance-Driven and Closed- Loop Optimization for Semiconductor Production Line

Research Projects (public/government founded) Ongoing Projects 1) Key Technology and Application of Redundant and Smart Work Robot based on HumanMachine Cooperation (03.2019-02.2022) Project partner: National Key Research and Development Project (2018YFB1305304) Project Volume: RMB 166,000 Project goal: This project aims to develop key technology for human-machine secure interaction and flexible job control.

2) Basic Theory and Method of Multi-agent System Autonomous Collaboration. (10.2019-09.2022) Project partner: Shanghai Science and Technology Pilot Project Project Volume: RMB 29,030,000 Project goal: This project aims to develop basic theory and method of multi-agent system autonomous collaboration. Part of developed algorithms will be demonstrated at QuickTron and ZPMC.

Industry Projects Planned Projects 1) Self-driving (09.2020-08.2021) Project partner: BMW Project Volume: RMB 12,000 Project goal: The project conducts in-depth research on the self-driving theories, critical technologies and application, based on the requirements of BMW products. 68

Conferences (1) Zhao Z, Shi M, Zhao X, Li L*. Active Crowd Counting with Limited Supervision [C]//Proceedinds of the European Conference on Computation Vision (ECCV). 2020.(Accepted) (2) Liu W Q, Shi M J, Li L*. Defending Adversarial Examples via DNN Bottleneck Reinforcement[C]// The 28th ACM International Conference on Multimedia. 2020. (Accepted) (3) Li L, Zhao Z, Zhao X, Lin K. Gated recurrent unit networks for gated recurrent unit networks for remaining useful life prediction[C]. Proceedings of the 21st IFAC World Congress. 2020. (Accepted) (4) Li L, Fan X, Lin K. A Survey on federated learning[C]//Proceedinds of the 16th IEEE International Conference on Control and Automation (ICCA), 2020. (Accepted) (5) Li L, Qu K, Lin K. A Survey on Attack Resilient of UAV Motion Planning[C]//Proceedinds of the 16th IEEE International Conference on Control and Automation (ICCA), 2020. (Accepted) (6) Li L, Liu Y, Lin K. Member Predicting Hard Drive Failure with Deep Learning[C]//Proceedinds of the International Conference on Automation Science and Engineering (CASE), 2020. (Accepted) (7) Cui M, Li L*, Zhou M. An autoencoder-embedded evolutionary optimization framework for high-dimensional problems[C]// IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020. (Submitted)

International Publications (1) Li Li, Wang Y , Lin K Y . Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization[J]. Journal of Intelligent Manufacturing, 2020(2). (Publish online) (2) Gao Y, Yang C, Pan J, Lin K, Li L*. Conditional semi-fuzzy c-means clustering for imbalanced dataset[J]. IET Image Processing, 2020(3). (Publish online) (3) Yu Q, Yang H, Lin K, Li L*. Research on Load-Balancing Strategies with MultiLayer Perceptron (MLP) for Scheduling Problems of Manufacturing Systems[J]. Journal of Computing and Information Science in Engineering, 2019: 1-23. (4) Cui M, Li L*, Shi M. A selective biogeography-based optimizer considering resource allocation for large-scale global optimization[J]. Computational Intelligence and Neuroscience, vol. 2019, Article ID 1240162, 17 pages, 2019. (5) Ni J, Li L*. Memetic variable clustering and its application[J]. Mathematical Problems in Engineering, vol. 2019, Article ID 4195318, 15 pages, 2019. (6) Li L, Wang Y, Hsu C, Li Y, Lin K. L-measure Evaluation Metric for Fake Information Detection Models with Binary Class Imbalance[J]. Enterprise Information Systems, 2020. (Under major revision) (7) Zhao X, Yi P, Li L*. Distributed policy evaluation via ADMM in multi-agent reinforcement learning [J]. Control Theory and Techology, 2020. (Under minor revision) (8) Huang X, Li L*, Chen J, Multi-agent System Motion Planning under Temporal Logic Specifications and Control Barrier Function[J]. Control Theory and Techology, 2020. (Under minor revision) (9) Cui M, Li L*, Zhou M. An autoencoder-embedded evolutionary optimization framework for high-dimensional computationally expensive problems[J]. IEEE Trans. on Cybernetics. (Submitted) (10) Yu Q, Lin K, Li L*. Support Semiconductor Scheduling Using PSO-SVM based Performance-Driven Method with Feedback[J]. IEEE Transactions on Semiconductor 69

Manufacturing. (Submitted) (11) Li L, Tang J, Mei G, Wu H, Liu Y. Incremental Learning based Mental Health Status of Campus Students Prediction Framework[J]. BMC Medical Informatics and Decision Making. (Submitted) (12) Li L, Fan Y, Lin K. A review of applications in federated learning[J]. Computers and industrial engineering. (Submitted) (13) Li L, Liu Y, Lin K. An Integration Model of auto-encoder and sampling algorithm for Hard Drive fault detection[J]. ISA TRANSACTIONS. (Submitted) (14) Yang H, Yu Q, Lin K, Li L*. A human-machine collaborative scheduling method for semiconductor scheduling problems [J]. Journal of Compouting and Information Science in Engineering. (Submitted) (15) Yu Q, Yang H, Lin K, Li L*. A Self-Organized Approach for Scheduling semiconductor Manufacturing Systems[J]. Journal of Intelligent Manufacturing. (Submitted) (16) Yu Q, Yang H, Li L*, Lin K. Evaluation-System and Correlation Analysis for erformances of Semiconductor Manufacturing System [J]. Industrial Management and Data Systems. (Submitted) (17) Li L, Yang H, Jiao Y, Lin K. Feature Generation Based on Knowledge Graph [J]. Toward Next-generation Healthcare Services and Systems. (Submitted)

National Publications (1) Tang J, Li L*. Cycle time prediction method for semiconductor wafer fabrication facility based on multi-layer data analysis framework [J]. Computer Integrated Manufacturing Systems, 2019, 25(5): 1086-1092. (In Chinese) (2) Cui M, Li L*. Research on management and decision-making based on big data [J]. Control Engineering of China, 2019, 26(10):1882-1891. (In Chinese) (3) Huang X, Li L*, Chen J. Multi-agent System Motion Planning under Temporal Logic Specifications and Control Barrier Function (Extended abstract) [C]// Proceedinds of the Chinese Control Conference, 2020. (Accepted) (4) Zhao X, Yi P, Li L*. Distributed policy evaluation via ADMM in multi-agent reinforcement learning (Extende Abstract) [C]// Proceedings of the 39th Chinese Control Conference (CCC). 2020. (Accepted) (5) Yi P, Li L*. Distributed Optimization over Markovian Switching Random Network (Extende Abstract) [C] Proceedings of the 39th Chinese Control Conference (CCC). 2020. (Accepted) (6) Li L, Liu Y, Lin K. A deep sparse denosing autoencoder for fault diagnosis of bearing [C] The China Automation congress (CAC). 2020. (Submitted, In Chinese)

Books (1) Li L, Yu Q, Qiao F, Ma Y. Data-driven intelligent scheduling methods for complex manufacturing system [M], Chemical Industry Publisher, 2020. (In Chinese)

Patents (1) Li L, Zhao Z, Lin K. Crowd counting and density estimation method, device, storage medium and terminal. Application Number: ZL 202010162552.8. (In Chinese)

Lectures (1) Reporter: Prof. Li Li. Theme: Autonomous Intelligent Unmanned System. Department of Industrial Engineering, Pusan National Univeristy. 1 October 2019, Busan, Korea.

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Other Partners Companies / Organizations Shanghai Quicktron Intelligent Technology Company Limited Shanghai Zhenhua Port Machinery Company Limited

International Scientists / Universities Prof. Lihua Xie, Nanyang Technological University, Singapore Prof. Xiaoming Hu, KTH Royal Institute of Technology in Stockholm, Sweden Prof. Ying Liu, Cardiff University, United Kingdom Prof. Mengchu Zhou, New Jersey Institute of Technology Newark, USA Dr. Miaojing Shi, King's College London (KCL), United Kingdom

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Chair for Communication Networks

Prof. Dr.-Ing. GE, Wancheng

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The Chair Team includes 1 responsible professor (Prof. Dr. GE, Wancheng), 7 guest professors, 3 Ph.D. candidates and 14 Master students.

Courses -Communication and computer networks. -Introduction to channel coding. -Internship high-frequency technology and communication network. -selected parts of communication networks (digital image communication). -selected parts of communication technology (machine learning in communication technology) Master thesis (1) LI Yichao: „FPGA-based simulation setup for staircase codes“, 2019 (2) SHI Yuxuan: „Concatenated Codes for Error Correction in DNA storage“, 2019 (3) TANG Rongshan: „Soft-Decoding Strategies for a Concatenated Coding Scheme in DNA storage“, 2019 (4) HOU Liushuai: „Analysis of the uncertainty of environment perception and key scenarios of autonomous driving“, 2020 (5) REN Lei: „Research on Influencing Factors of Environmental Perception for Autonomous driving“, 2020

Research Projects (public/government founded) Ongoing Projects 1) Functional model and implementation method of situation assessment for automatic driving environment cognition (01.01.2018-31.12.2020) Project partner: National Natural Science Foundation of China Project goal: This project researches on the situation assessment of automatic driving based on the cognitive mechanism of human drivers and the highlevel fusion of multi-source information.

2) All-state parameter estimation, complex environment perception and multi source information fusion for intelligent electric automobiles (01.01.2016- 31.12.2020) Project partner: Shanghai Science and Technology Pilot Project Project goal: Design of various algorithms for image-based object identification and multi sensor information fusion

Planned Projects 1) Research on Equalization Algorithms for Interference Cancellation in OFDM Systems over Fast Fading Channels (01.01.2021-31.12.2024) Project partner: National Natural Science Foundation of China Project goal: optimization of channel modelling, pilot structure and equalization algorithms, parameter model under the optimized base functions, construction of time domain pilot structure and modulation mode, soft decision and the iterative algorithms with the reliability function

Industry Projects Completed Projects 1) Research on Lightweight Network Architecture for IoT (Internet of Things)

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(01.01.2019-31.01.2020) Project partner: Huawei Technologies Co., Ltd.

Project goal: 5G Mobile Communications, TSN (Time Sensitive Networking). Real-Time, EtherCAT, ProfiNet, Sercos, etc.

International Publications (1) Cai Lijun, Ge Wancheng, Zhu Zhigang, Zhao Xueling, Li Zhanhong: Data Analysis and Accuracy Evaluation of a Continuous Glucose-Monitoring Device," Journal of Sensors, vol. 2019, Article ID 4896862, 8 pages, 12. 2019. https://doi.org/10.1155/2019/4896862 (aufgenommen in SCI) (2) Liushuai Hou, Huilin Yin, Wancheng Ge, Qian Meng: High-Order Uncertainty of LiDAR for Environment Perception in Automated Driving Systems. 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 19-21 October 2019, Huaqiao, Suzhou, China (3) Lei Ren, Huilin Yin, Wancheng Ge, Qian Meng: Environment Influences on Uncertainty of Object Detection for Automated Driving Systems. 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 19-21 October 2019, Huaqiao, Suzhou, China

National Publications (1) XIA Gesong, GE Wancheng: Improvement and FPGA-Implementation of Decoding Algorithms for Polar Codes. Communications Technology, 11.2019, p2611-2616 (2) YAN Yixuan, GE Wancheng: Application of Cyclic Neural Networks in Point to Point Speech Recognition. Communications Technology, 11.2019, p2659-2663

Other Partners Companies / Organizations TUEV Süd National Natural Science Foundation of China Forschungsministerium China Huawei Technologies Co., Ltd. Shanghai Unicore Technology of IOT Co. Ltd. Shanghai Pateo Network Technology Komatsu Ltd., Japan ZTE Corporation Litepoint Shanghai

International Scientists / Universities Prof. Dr. E. Steinbach, Chair for media technology, TU München Prof. Dr. G. Kramer, TU München Prof. Dr. W. Kellerer, Chair for Communication Networks, TU München Prof. J. Eberspächer, Chair for Communication Networks, TU München Prof. Dr. A. Springer, Institute for Communication and Information Technology, University of Linz Prof. Dr. R. Weigel, Chair for Technical Electronics, University of Erlangen Prof. Dr. R. Yu, Carleton University, Kanada Frau Dr. YIN Huilin, Chair holder of the TUEV Sued endowed chair, CDHK, Tongji University

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Prof. ZHANG Jianqiu, Fudan University Prof. CHEN Jiapin, Shanghai Jiaotong University Prof. LI Kaicheng, Huazhong University of Science & Technology, Wuhan Prof. YANG Fumin, Huazhong University of Science and Technology, Wuhan

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Faculty of Economics & Management

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Number of Research Projects 2019/2020 Faculty of Economics & Management

Total number: 53

24

29

Public/Government funded Projects Industry Projects

Volume of Research Projects 2019/2020 Faculty of Economics & Management

Total volume in RMB: 700,000 0

¥700,000

Public/Government funded Projects Industry Projects

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Bosch Endowed Chair for Global Supply Chain Management

Prof. Dr. HUO Jiazhen

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Team: Prof. Dr. HUO Jiazhen, Chair holder Prof. Dr. Dr. Hans-Christian Pfohl, partner professor, TU Darmstadt Prof. Dr. DUAN Yongrui, Professor M.Sc. mult. Johannes Kern, research assistant (part time) M.Sc. Pascal Wolff, research assistant Olivia Wang, chair assistant

Courses: - Logistics Systems - Social Practice - International Management - Operations Management - Supply Chain Management - Conducting Business in China

Master thesis: (1) B.Sc. Felix Fitterling: “Warehousing 4.0. An empirical study with evidence from China and Germany”, Survey (2) B.Sc. Matthias Knack: “German foreign direct investments in China today. Factors and perceptions”, Multi Case Study

Doctoral thesis: (1) M.Sc. mult. Johannes Kern: “The impact of Guanxi on the selection of Logistics Service Providers in China“ (2) M.Sc. Pascal Wolff: “Resource Planning in Cross-Docking Platforms. Models and Algorithms”, Double PhD degree Tongji University – TU Darmstadt

Research Projects (public/government founded)

Industry Projects: no information

Ongoing Projects: no information

Planned Projects: no information

Lectures and events (1) Kern, J.: “Boosting relevance in higher education”, 6th International Symposium on Economics and Management, 28.06.2020, Ningbo, China (2) Wolff, P.: “Integrated truck and workforce scheduling in cross-docks”, INFORMS 2019 Annual Meeting, 22.10.2019, Seattle, USA

Publications (1) “On empirically estimating bullwhip effects: Measurement, aggregation, and impact”, Journal of Operations Management,2020. https://doi.org/10.1002/joom.1090 (A+ journal) (2) “Ration Gaming and the Bullwhip Effect”, Operations Research,2019, 67(2): 453-467. (A+ journal)

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(3) “Pricing, ordering, and quick response for online sellers in the presence of consumer disappointment aversion”, Transportation Research Part E,2020, https://doi.org/10.1016/j.tre.2020.101925 (B journal) (4) “FMDBN: A first-order Markov dynamic Bayesian network classifier with continuous attributes”, Knowledge-Based Systems, 2020, https://doi.org/10.1016/j.knosys.2020.105638 (5) “Joint production and pricing inventory system under stochastic reference price effect”, 2020 , Computers & Industrial Engineering, https://doi.org/10.1016/j.cie.2020.106411 (6) “Optimal pricing and deteriorating inventory control when inventory stimulates stochastic demand with reference price”. RAIRO-Operations Research, accepted and forthcoming, 2020. (7) “Joint pricing and inventory management under servitisation”, Journal of the Operational Research Society, 2019, https://doi.org/10.1080/01605682.2019.1590510 (8) “The Impact of Monetary Rewards for Online Reviews”, accepted for publication, in: Asia Pacific Journal of Marketing and Logistics, 2019 (9) “Transshipment hub automation in China’s CEP sector”, in: “Urban Freight Transportation Systems”, Elsevier, 2019 (10) “Dynamic capacity allocation for airlines with multi-channel distribution”, in: Journal of Air Transport Management, 2018 (11) “Optimal pricing, production, and inventory for deteriorating items under demand uncertainty: The finite horizon case”, in: Applied Mathematical Modelling, 2018 (12) “Subscription price and advertising space decisions for online content firms with reference effect”, in: Electronic Commerce Research and Applications, 2018 (13) “Capacity Planning in Advance Selling in the Presence of Regret Behavior”, in: Industrial Engineering and Management (in Chinese), 2018 (14) “The infeasible problem of Malmquist–Luenberger index and its application on China’s environmental total factor productivity”, in: Annals of Operations Research, 2017 (15) “A symmetric version of the generalized alternating direction method of multipliers for two-block separable convex programming”, Journal of Inequalities and Applications, 2017 (16) “Alignment of global supply networks based on strategic groups of supply chains”, in: LogForum, 2017 (17) “Dynamic Pricing of Private Label with Reference Price and Perceived Quality”, in: Industrial Engineering and Management (in Chinese), 2017 (18) “Pricing Policies for a Dual-channel Supply Chain Considering Loss Aversion and Returns”, in: Journal of Huazhong Normal University (in Chinese), 2017 (19) “Inventory Rationing and Money-back Guarantees with Heterogeneous Strategic Consumers”, accepted for publication, in: Management Science in China, 2017 (20) “Dynamic pricing and inventory management with dual sales channel”, submitted to European Journal of Operational Research, (B journal) (21) “Pricing and Capacity Allocation in Advance Selling in the Presence of Consumer Regret Aversion Behavior”, under review, submitted to Journal of Management Science (in Chinese)

Lectures: (1) Kern, J.: “Boosting relevance in higher education”, 6th International Symposium on Economics and Management, 28.06.2020, Ningbo, China (2) Wolff, P.: “Integrated truck and workforce scheduling in cross-docks”, IN-FORMS 2019 Annual Meeting, 22.10.2019, Seattle, USA

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Goetzpartners Endowed Chair for Innovation und Entrepreneurship

Prof. Dr. HAN Zheng

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The team consists 1 chair holder, 1 associate, 17 students, 2 guest scientists, 1 visiting research associate.

Courses: - Entrepreneurship in China - Marketing in China - Global R&D Management and Reverse Innovation - Marktforschung im Innovationsmarketing - FAU Siemens EMBA International Leadership and Finance China Module - China in Transition - Chinese Innovation Ecosystem - Entrepreneurship in China - Marketing in China

Master thesis: (1) JIANG Nan: Impacts of brand image on purchase intention- A case study of mobile phone brands, 2020 (2) LI Qianwen: A Research on Collaboration Mechanism in the Innovation Ecosystem Taking German Enterprises in China’s Automotive Industry as Examples, 2020 (3) XU Donger: The Impact of Sponsorship Disclosure of Social Media Influencers on Consumer’s Brand Attitudes and Behavioral Intetions- A Case of MicroInfluencers on Xiaohongshu, 2020 (4) LI Na: Study on Customer’s Decision-making Behavior in Crossover Marketing - Based on AISAS Model, 2020 (5) LI Jiaying: Research on the Acceptance of Shared Autonomous Vehicle (SAV) Based on UTAUT2 and Perceived Risk, 2020

Industry Projects 1)German Business in China – Greater Shanghai Innovation Survey 2018/2019 Project partner: CDHK, Tongji University and goetzpartners Project Volume: RMB 140,000

2)Chinese Consumer Value Index 2019: Significance and relevance of values of the Chinese web users Project partner: Trend office, Kantar and Avantgarde

Planned Projects: no information 1) Innovation Ecosystem Study – Yangtze Delta China Project partner: Deutsche Außenhandelskammer (AHK) in Shanghai Project Volume: RMB 150,000

Publications (1) Poetzsch, M & Han, Z (2019) New Game: Should the Multinational Crop Protection Company CPG Enter China’s M-Commerce Market? Heidelberg: Springer, pp.xx

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International Scientists / Universities ESMT ETH Zürich Friedrich Alexander Universität Erlangen GLORAD Center for Global R&D and Innovation LIMAK Austrian Business School Manage and More Mannheim Business School University of Applied Sciences and Arts Northwestern Switzerland Universität Münster Universität St. Gallen Technische Universität Berlin

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Bayer Endowed Chair for Intellectual Property Right

Prof. Dr. LIU Xiaohai

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Chair Team: Chair holder: Prof. Dr. iur. LIU Xiaohai Associate: Prof. Dr. SHAN Xiaoguang 6 Student assistants: CHEN Ming, FENG Shoushan, WEN Manyi, HUANG Yueyi, YIN Nana, DAI Wenmiao

Courses: - International technology transfer und licensing agreements (in English) - -Patent law and trademark law in China and international convention. - -Patent law

Master thesis: Prof. Dr. LIU Xiaohai: ZHU Zhongshuai, YAO Shurong, Wen Manyi,Huang Yueyi, Yin Nana, Dai Wenmiao, Kanguro Getrud (Namibia), Parakh Roshni (India) Prof. Dr. SHAN Xiaoguang: LIU Changqi, MA Tong, LUO Kaizhong, WU Yajing, WANG Ming, ZHAO Shuo, DING Mengsi, ZHOU Qiren, CHU Chu, ZHENG Jwang wanjin, Tvauri Nona (Georgia), Md Arif (Malaysia), Onader Faruk (Turkey)

PhD thesis: Prof. Dr. LIU Xiaohai: CHEN Ming, LIAO Qiong, Feng Shoushan Prof. Dr. SHAN Xiaoguang: ZHANG Xiaolong, ZHANG Dongmei, LUO Yong, ZHU Yunjie, YE Bingkun

Research Projects (public/government founded) Completed Projects 1) International trend of enhanced copyright protection in free trade agreements signed by the US and the EU (05.2019-12.2019). Project partner: National Copyright Administration Project Volume: 350,000 RMB

Ongoing Projects 1) Research on the copyright regulation of the copyright licensing agreement to protect competition in the copyright market (11.2019-12.2020). Project partner: National Copyright Administration Project Volume: 100,000 RMB

2) Research on the strategic path of a powerful country for the IP intensifying industry (10.2017-12.2020). Project partner: Major projects of the National Social Science Fund of 2017. Project Volume: 600,000 RMB

Conferences (1) The fourteenth Bayer Tongji IP Forum, in Suzhou, 18.10.2019. (2) Annual Meeting of the Chinese Association for IPRs, in Haerbin, 01.06-02.06.2019. (3) Annual Meeting of the Chinese Association for Science and Technology Law in Hefei, 01-02.11.2019.

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National and international publications (1) Liu Xiaohai (co-author): Bad faith filings in the Chinese Trademark Law: evolution, status quo and improvements, Queen Mary Journal of Intellectual Property, Vol. 10 (2020) No. 3, pp. 306–320

Lectures (1) LIU Xiaohai, "To further strengthen the protection of business secrets in the context of the first phase of the economic and trade agreement between China and the US", Shanghai Public Prosecutor's Online Forum, 29.04.2020, 29.04.2020

International Scientists / Universities Max-Planck-Institute of Innovation and Competition in Munich Institute for Information Law (IViR), University of Amsterdam

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EY Endowed Chair für Accounting,

Controlling and Auditing

Prof. Dr. WANG Xuyi

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The team Chair holder: Prof. Dr. WANG Xuyi Guest Professor: Prof. Dr. Bernhard PELLENS, Prof. Dr. HAYN, Mr. VON DEM BONGART, Mr. WILHELM, Mr. WU, Ms. Denisa Lleshaj 18 student scientific assistants

Courses: - IFRS and balance sheet analysis - Banking and Finance II Derivate

Master thesis: (1) Wang Hao: Research on Performance Evaluation of Competitive Sports Investment of Gansu Provincial Government Based on DEA Model (2) Wang Yuwei: Research on the Strategy Implementation’s Effect of Thyssenkrupp Group Based on Value Creation Ability (3) ZHANG Meng: Research on the impact of IFRS 15-Revenue from Contracts with Customers——Taking German listed companies as an example (4) ZHU Yuxiao: Research on Reputation Evaluation of Commercial Banks Based on AHPFuzzy Comprehensive Evaluation Method (5) Fu Lei: Research on the Impact of Shareholder Activism on Corporate Performance

Research Projects (public/government founded) Completed Projects 1) Publication of "the positive effect" 2) Translation of the controlling text book with key figures by Thomas Reichmann into Chinese

Ongoing Projects 1) Building a controlling concept and an evaluation system under the framework conditions of Chinese culture.

Planned Projects 1) Investigation of the behaviour of the stakeholder (cooperation with Prof. PELLENS, RUB).

National Publications (1) Voelel S.C. and Gerpott F., translated by Wang Xuyi: The positive effect, First Chinese version, Truth & quot; wisdom Press / Shanghai people Press, 2020 (2) Rechmann, Kißler, Baumöl und WANG Xuyi: Controlling mit Kennzahlen, erste chinesische Version, Verlag von Shanghai University of Finance and Economics 2020

Other Partners Companies / Organizations Germany: EY: Prof. Dr. Hayn Haniel: Prof. FUNCK und Dr. RÜTHERS VW: Auto Uni Dr. TROPSCHUH

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Horvath AG: Prof. Dr. HORVATH und Dr. Michel Internationaler Controllerverein: Prof. Dr. HAUSER DS PPR & PARTNER Pape Rauh Rechtsanwälte Wirtschaftsprüfer, Steuerberater: Herr MA Zhenzhou CIC: Prof. Dr. REICHMANN China ThyssenKrupp: Apel SONG EY: Herr VON DEM BONGART und Herr Wilhelm in Shanghai, Herr SPRENGER und FRAU STEINER in Beijing SVW: Herr SONG Weiliang Herr Edward VIC aus NSW University Australia

International Scientists / Universities Germany: Ruhr-Universität Bochum: Prof. Dr. PELLENS Universität Münster: Prof. Dr. BACKHAUS, Prof. Dr. KAJÜTER und Prof. Dr. WIESEL RWTH Aachen: Prof. Dr. BRETTEL Universität Zürich: Prof. Dr. PFAFF WHU: Prof. Dr. Dr. h.c. WEBER, Prof. Dr. SCHÄFFER und Prof. Dr. GLAUM ESMT: Prof. Dr. PLÖTNER Universität Dortmund: Prof. Dr. HOFFJAN, Prof. Dr. ENGELEN und Prof. Dr. REICHMANN Universität Bremen: Prof. Dr. BURMANN Universität Leuphana: Prof. Dr. REIHLEN TU München: Prof. Dr. ENSTBERG LMU München Prof. Dr. SELLHORN Universität Bayreuth: Prof. Dr. FÜLBIER Universität Hohenheim: Prof. Dr. HACHMEISTER und Prof. Dr. BURGHAUS Universität Magdeburg: Frau Prof. Dr. ENKE

China: Fudan University Shanghai Jiaotong University Shanghai University for Finance and Economy

Membership in scientific associations Prof. Wang Xuyi is a member of the Advisory Board"controlling" this year. Prof. Wang Xuyi is appointed Regional Editor China of the International Journal of Revenue Management. Prof. Wang Xuyi is an honorary member of the International Controller Association e. V.

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Chair for Business Informatics

Prof. Dr. HUANG Guanwei

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Courses: - Management Information System II - eCommerce - Deep Learning

Master thesis: (1) [Doppelmaster] Brian Hotani, Path to integrated mobility, MaaS – Public transport and its transformation---The role of public authorities and private companies in intermodal mobility (2) [Doppelmaster] Sebastian Kleber, Development of a Time Series Forecasting Model based on Smart Meter Data (3) [Doppelmaster] Marvin Buss, Decision-Making in Machine Learning –Technical Decision-Making beyond Model Performance Metrics (4) [Doppelmaster] Jannis Heipe, German and Chinese startups: Empirical comparison and analysis of success factors (5) [Doppelmaster] Felix Ziegler, A Probabilistic Modelling Approach to Analyze the Impact of Electric Vehicles on Residential Load Profiles (6) [Doppelmaster] Katherine Diaz, Development of a Lean Management concept for process optimization at an international technical service company (7) Wang Jue, Research on Demand Forecast Modeling of Footwear Enterprises Based on Life Cycle (8) Ding Zhiyan, Research on Location Selection of Multi-level Layout of Chain Supermarkets Considering Customer Demand Heterogeneity (9) Wang Ziyu, Game study on the evolution of bike-sharing economic benefits based on system dynamics (10) Ma Jie, Research on Internal and External Integration of Supply Chain and Enterprise Performance ——Evidence from the Clothing Industry (11) Zhang Ge, Research on Business Model of Manufacturing Capability Sharing in Sharing Economy (12) Ma Tianjia, Research on Resource Optimization and Allocation of Small Enterprises based on Collaborative Manufacturing under Capacity Sharing (13) Wang Tong, The logistic service satisfaction determinants of rural online shopping customers - a case study of Shaanxi Province (14) Wang Xiaoran, Research on the Utility of Smart Manufacturing Services Platform of SMEs Under the Background of Sharing Economy

Research Projects (public/government founded) Planned Project (1) Coordinating the Planning and Operation of the International Relief Supply Chain in Major Public Health Emergency. Cooperation project with TU Berlin with my chair and Bosch chair as one party, and Prof. Werwatz of TU Berlin as the other party. We had jointly applied for to DFG & APOs; NSFC in May 2020.

Industry Projects: no information

Conference (1) Guanwei Huang, Mavin Buss, Decision-Making in Machine Learning, Proceedings of 2020 International Conference on Software Engineering, Electronics and Communication Technology, Tianjin, China, June13-14,2020

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National and international publications (1) Yao Mengzhu, Guanwei Huang, Facial Expression Recognition Based on Convolutional Neural Network, Computer Knowledge and Technology, Vol.16(16), 2020, pp.19-23 (2) Yao Wang, Guanwei Huang, Exploring the Utility of Manufacturing Shared Services Platforms for MSMEs, Management & Administration, 2020(4), pp.102-105

Other Partners Companies / Organizations Mr. Tian Lihui, Shandong Lihui Heavy Industry Co., Ltd., im Bereich Smart Services

International Scientists / Universities Prof. Rüdiger Zarnekow, TU Berlin .

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Imprint: Sino-German School for Postgraduate Studies Chifeng Road 50, Shanghai 200092, PR China +862165988387, cdhk.tongji.edu.cn Editors: CDHK board of directors Shanghai, 2020