Module 3: Train Energy, Power, and Traffic Control
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Module 2: Dynamics of Electric and Hybrid Vehicles
NPTEL – Electrical Engineering – Introduction to Hybrid and Electric Vehicles Module 2: Dynamics of Electric and Hybrid vehicles Lecture 3: Motion and dynamic equations for vehicles Motion and dynamic equations for vehicles Introduction The fundamentals of vehicle design involve the basic principles of physics, specially the Newton's second law of motion. According to Newton's second law the acceleration of an object is proportional to the net force exerted on it. Hence, an object accelerates when the net force acting on it is not zero. In a vehicle several forces act on it and the net or resultant force governs the motion according to the Newton's second law. The propulsion unit of the vehicle delivers the force necessary to move the vehicle forward. This force of the propulsion unit helps the vehicle to overcome the resisting forces due to gravity, air and tire resistance. The acceleration of the vehicle depends on: the power delivered by the propulsion unit the road conditions the aerodynamics of the vehicle the composite mass of the vehicle In this lecture the mathematical framework required for the analysis of vehicle mechanics based on Newton’s second law of motion is presented. The following topics are covered in this lecture: General description of vehicle movement Vehicle resistance Dynamic equation Tire Ground Adhesion and maximum tractive effort Joint initiative of IITs and IISc – Funded by MHRD Page 1 of 28 NPTEL – Electrical Engineering – Introduction to Hybrid and Electric Vehicles General description of vehicle movement The vehicle motion can be completely determined by analysing the forces acting on it in the direction of motion. -
Minimising Fuel Consumption of a Series Hybrid Electric Railway Vehicle Using Model Predictive Control
Master of Science Thesis in Electrical Engineering Department of Electrical Engineering, Linköping University, 2017 Minimising Fuel Consumption of a Series Hybrid Electric Railway Vehicle Using Model Predictive Control Niklas Sundholm Master of Science Thesis in Electrical Engineering Minimising Fuel Consumption of a Series Hybrid Electric Railway Vehicle Using Model Predictive Control Niklas Sundholm LiTH-ISY-EX--17/5095--SE Supervisor: Måns Klingspor isy, Linköping University Keiichiro Kondo Department of Electrical and Electronic Engineering, Chiba University Examiner: Martin Enqvist isy, Linköping University Automatic Control Department of Electrical Engineering Linköping University SE-581 83 Linköping, Sweden Copyright © 2017 Niklas Sundholm Abstract With the increasing demands on making railway systems more environmentally friendly, diesel railcars have been replaced by hybrid electric railway vehicles. A hybrid system holds a number of advantages as it has the possibility of recuperat- ing energy and allows the internal combustion engine (ice) to be run at optimal efficiency. However, to fully utilise the advantages of a hybrid system the hybrid electric vehicle (hev) is highly dependent on the used energy management strat- egy (ems). In this thesis, the possibility of minimising the fuel consumption of the series hy- brid electric railway vehicle, Ki-Ha E200, has been studied. This has been done by replacing the currently used ems, based on heuristics, with a model predictive controller (mpc). The heuristic ems and the mpc have been evaluated by compar- ing the performance results from three different test cases. The performance of the implemented mpc seems promising as it yields more optimal operation of the ice and improved control of the battery state of charge (soc). -
Measurement of Tractive Force in the Creep Region and Maximum Adhesion Control of High Speed Railway Systems Abstract 1. Introd
Measurement of Tractive Force in the Creep Region and Maximum Adhesion Control of High Speed Railway Systems Atsuo Kawamura (Yokohama National University, Japan) Meifen Cao (Corporation for Advanced Transport & Technology, Japan) Yosuke Takaoka, Keiichi Takeuchi,Takemasa Furuya, KantaroYoshimoto (Yokohama National University, Japan) Abstract The acceleration and deceleration rate of the train depend on the tractive force. When the wheels of the train slip on the rails, the torque is decreased to avoid the continuous slipping. This reason is that the tractive coefficient between the wheels and the rails has a peak at a certain slip velocity. But this adhesive phenomenon is not clearly examined or analyzed. Thus we have developed a new adhesion test equipment.In this paper, we measured the tractive force with this equipment, and clarified the adhesive phenomenon. Then we proposed a new tractive force control and verified the effectiveness of the proposed control scheme. 1. Introduction The strong demands for Shinkansen are the speed up of the trains, and the increase of the passenger transportation capacity while preserving the safety of high-speed railway systems. One possible approach for this is to enhance the speed adjustment capability. The end results are 1) the safety will be improved by reducing the distance for the urgent stop, 2) the train running density can be improved by increasing the average speed for the existing lines with many curves, that is called the high-density-scheduling. Generally, the speed adjustment performance can be enhanced through increasing driving or braking force that is mostly achieved by the maximum adhesion force between wheels and rails. -
US Military Shifts Army Basing from Qatar to Jordan
PACIFIC: See Hawaii the way locals wish you would Page 24 EUROPE Smoked beer and GAMES: Mario Golf is medieval history worth teeing up Page 19 make Bamberg NBA PLAYOFFS: Chris Paul memorable Page 21 finally reaches Finals Page 48 stripes.com Volume 80 Edition 55 ©SS 2021 FRIDAY,JULY 2, 2021 $1.00 US military shifts Army basing from Qatar to Jordan BY J.P. LAWRENCE Stars and Stripes The U.S. has closed sprawling bases in Qatar that once stored warehouses full of weaponry and transferred the remaining suppli- es to Jordan, in a move that analy- sts say positions Washington to deal better with Iran and reflects the military’s changing priorities in the region. Military leaders shuttered U.S. Army Camp As Sayliyah-Main last month, along with Camp As Sayliyah-South, and an ammuni- tion supply point named Falcon, an Army statement last week said. Camp As Sayliyah was known among many service members for its Rest and Recuperation Pass Program, which gave some EFFRAIN LOPEZ/U.S. Air Force 200,000 deployed troops a four- An MQ-1 Predator flies over the Southern California Logistics Airport in Victorville, Calif., in 2012. The drone was a catalyst for extraordinary day vacation. The program ran growth and change in the world of unmanned aerial vehicles, but it also raised ethical questions regarding death by remote control. from 2002 to 2011 and offered trav- elers up to two glasses of beer or wine a day, along with golf and beach trips. The camp also served as a for- ward staging area for U.S. -
Effects of Soil Moisture and Tillage Speeds on Tractive Force of Disc Ploughing in Loamy Sand Soil
European International Journal of Science and Technology Vol. 3 No. 4 May, 2014 Effects of soil moisture and tillage speeds on tractive force of disc ploughing in loamy sand soil S. O. Nkakini* and I. Fubara-Manuel Department of Agricultural and Environmental Engineering, Faculty of Engineering, Rivers State University of Science and Technology, P.M.B 5080, Port-Harcourt, Nigeria Corresponding author: email : [email protected] Abstract The effect of disc plough speeds and variations in soil moisture content on tractive force requirements was investigated using the trace-tractor technique. The results indicate that tractive forces decrease with increase in soil moisture content at constant tillage speeds of 1.94m/s, 2.22m/s and 2.5m/s respectively. The study further revealed that the optimum speed of operation for disc ploughing is 1.94m/s, while the optimum soil moisture content lies in the range of 2.5% to 25% wb. for the soil under consideration. Soil strength properties decreased with increase in soil moisture content and tillage speeds. This implies that there exists an optimum moisture content above or below which good soil tilth will not be realised. From the results, a linear relationship was established for predicting tractive force of disc plough under varying soil moisture content and plough speed of 1,94m/s, 2.22m/s and 2.5m/s. Keywords: Tractive force, tillage speeds, soil moisture, disc ploughing, loamy sand soil. 1. Introduction Land preparation is one of the major concerns in agricultural operations. Over the years, developments have taken place from the use of traditional methods of farm cultivations to the use of tractor drawn implements (Ahaneku et al., 2004). -
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The Niagara Story Thomas R
The Making Of A Legend- The Niagara Story Thomas R. Get:bracht Part I diameter from 25" on the J1, to 22.5", and they in Introduction creased the stroke from 28" to 29" to take maximum In 1945, the Equipment Engineering Department of advantage of the expansive properties of higher pressure the New York Central Railroad developed and Alco exe steam. This reduction of 16 percent in cylinder swept cuted a locomotive design which had a marked impact volume was offset by a 22 percent increase in boiler pres on the steam locomotives to follow, and on the tradi sure, to 275 psi. Main engine starting tractive effort was tional measurements by which motive power would be about the same, at 43,440 lbs. for the J3, but at the same evaluated. This locomotive was so significant that its cutoffs the J3 would be more economical in the use of performance is still discussed by the men who design steam than the Jl. Weight per driving axle increased, and run locomotives. The locomotive was the New York due in part to the use of one piece engine beds and roller Central class S1 4-8-4 Niagara. bearing axles on the J3's. (Later J1's also were provided There have been a number of articles pertaining to by Alco with one piece engine beds.) The weight per this locomotive in the technical and railfan press. The driving axle of the J3 Hudsons was 65,300 lbs. compared purpose of this series is to supplement these various ar with the 60,670 lbs. -
Chapter 4 Vehicle Dynamics
Chapter 4 Vehicle Dynamics 4.1. Introduction In order to design a controller, a good representative model of the system is needed. A vehicle mathematical model, which is appropriate for both acceleration and deceleration, is described in this section. This model will be used for design of control laws and computer simulations. Although the model considered here is relatively simple, it retains the essential dynamics of the system. 4.2. System Dynamics The model identifies the wheel speed and vehicle speed as state variables, and it identifies the torque applied to the wheel as the input variable. The two state variables in this model are associated with one-wheel rotational dynamics and linear vehicle dynamics. The state equations are the result of the application of Newton’s law to wheel and vehicle dynamics. 4.2.1. Wheel Dynamics The dynamic equation for the angular motion of the wheel is w& w =[Te - Tb - RwFt - RwFw]/ Jw (4.1) where Jw is the moment of inertia of the wheel, w w is the angular velocity of the wheel, the overdot indicates differentiation with respect to time, and the other quantities are defined in Table 4.1. 31 Table 4.1. Wheel Parameters Rw Radius of the wheel Nv Normal reaction force from the ground Te Shaft torque from the engine Tb Brake torque Ft Tractive force Fw Wheel viscous friction Nv direction of vehicle motion wheel rotating clockwise Te Tb Rw Ft + Fw ground Mvg Figure 4.1. Wheel Dynamics (under the influence of engine torque, brake torque, tire tractive force, wheel friction force, normal reaction force from the ground, and gravity force) The total torque acting on the wheel divided by the moment of inertia of the wheel equals the wheel angular acceleration (deceleration). -
Tractive Energy Analysis Methodology and Results from Long-Haul Truck Drive Cycle Evaluations
ORNL/TM-2011/455 Large Scale Duty Cycle (LSDC) Project: Tractive Energy Analysis Methodology and Results from Long-Haul Truck Drive Cycle Evaluations May 2011 Prepared by Tim LaClair ORNL/TM-2011/455 Energy and Transportation Science Division LARGE SCALE DUTY CYCLE (LSDC) PROJECT: TRACTIVE ENERGY ANALYSIS METHODOLOGY AND RESULTS FROM LONG-HAUL TRUCK DRIVE CYCLE EVALUATIONS Tim LaClair Date Published: May 2011 Prepared by OAK RIDGE NATIONAL LABORATORY Oak Ridge, Tennessee 37831-6283 managed by UT-BATTELLE, LLC for the U.S. DEPARTMENT OF ENERGY under contract DE-AC05-00OR22725 Contents 1. Background ........................................................................................................................................... 1 2. Fundamental Considerations ................................................................................................................ 3 2.1. Tractive Energy during Different Periods of Vehicle Operation ................................................... 3 2.2. Vehicle Fuel Consumption ............................................................................................................ 8 3. Methods and Equations ...................................................................................................................... 12 3.1. Tractive Energy Analysis and Overall Fuel Savings Potential ...................................................... 12 3.2. Technologies considered and Corresponding Equations ............................................................ 13 3.2.1. Tire Rolling -
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Up Challenger 4-6-6-4
UP CHALLENGER 4-6-6-4 The 4-6-6-4 class, original Challenger was designed by Otto Jabelmann of the Union Pacific and first built by Alco for UP. Approximately 230 Challengers were built nearly alike, differing only in their steam pressure, cylinders, and boilers. All Challengers had either 69" or 70" drivers and were rated at 94,400 pounds tractive effort on the Delaware Hudson to 106,900 pounds tractive effort on the Northern Pacific. The 4-6-6-4 was often used for passenger service, but its main function was carrying heavy, fast freight. It could average speeds of up to 70 miles per hour. The original Challengers had 21" x 32" cylinders, 69" drivers, 255 pounds steam pressure and weighed 566,000 pounds. The original Union Pacific Challengers were numbered from 3900 to 3939 when they came from Alco, but were renumbered to 3800 to 3839 in 1944 in order to allow space for use on later engines. Alco modified the Challenger starting in 1942 and ending in 1944, making a total of 105 new Challenger locomotives. These improved locomotives had attached front engines. Springs and equalizers took up all irregularities in the track to keep the train in equilibrium. This better balance allowed the new Challengers to reach speeds of up to 70 miles per hour or more. Boiler pressure was increased to 280 pounds, allowing for smaller cylinders. Drivers were still 69", but the total wheelbase was made 5 1/4" longer. The engine now weighed 627,000 pounds and the tractive effort increased to 97,350 pounds. -
A Two-Step Linear Programming Model for Energy-Efficient Timetables in Metro Railway Networks
A Two-Step Linear Programming Model for Energy-Efficient Timetables in Metro Railway Networks Shuvomoy Das Gupta∗ J. Kevin Tobiny Lacra Pavelz Abstract In this paper we propose a novel two-step linear optimization model to calculate energy-efficient timetables in metro railway networks. The resultant timetable minimizes the total energy consumed by all trains and maximizes the utilization of regenerative energy produced by braking trains, subject to the constraints in the railway network. In contrast to other existing models, which are NP-hard, our model is computationally the most tractable one being a linear program. We apply our optimization model to different instances of service PES2-SFM2 of line 8 of Shanghai Metro network spanning a full service period of one day (18 hours) with thousands of active trains. For every instance, our model finds an optimal timetable very quickly (largest runtime being less than 13s) with significant reduction in effective energy consumption (the worst case being 19.27%). Code based on the model has been integrated with Thales Timetable Compiler - the industrial timetable compiler of Thales Inc that has the largest installed base of communication-based train control systems worldwide. Keywords Railway networks, energy efficiency, regenerative braking, train scheduling, linear program- ming. 1 Introduction 1.1 Background and motivation Efficient energy management of electric vehicles using mathematical optimization has gained a lot of attention in recent years [1, 2, 3, 4, 5]. When a train makes a trip from an origin platform to a destination platform, its optimal speed profile consists of four phases: 1) maximum acceleration, 2) speed hold, 3) coast and 4) maximum brake 6, as shown in Figure 1 in a qualitative manner.