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Hierarchically Porous Carbon Materials and Limn2o 4 Electrodes for Electrochemical Supercapacitors
Graduate Theses, Dissertations, and Problem Reports 2015 Hierarchically Porous Carbon Materials and LiMn2O 4 Electrodes for Electrochemical Supercapacitors Shimeng Hao Follow this and additional works at: https://researchrepository.wvu.edu/etd Recommended Citation Hao, Shimeng, "Hierarchically Porous Carbon Materials and LiMn2O 4 Electrodes for Electrochemical Supercapacitors" (2015). Graduate Theses, Dissertations, and Problem Reports. 5760. https://researchrepository.wvu.edu/etd/5760 This Thesis is protected by copyright and/or related rights. It has been brought to you by the The Research Repository @ WVU with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you must obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Thesis has been accepted for inclusion in WVU Graduate Theses, Dissertations, and Problem Reports collection by an authorized administrator of The Research Repository @ WVU. For more information, please contact [email protected]. Hierarchically Porous Carbon Materials and LiMn2O4 Electrodes for Electrochemical Supercapacitors Shimeng Hao Thesis submitted to the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University in partial fulfillment of the requirements for the degree of Master of Science In Mechanical Engineering -
A Biomimetic, Energy-Harvesting, Obstacle-Avoiding, Path-Planning Algorithm for Uavs" (2016)
Dissertations and Theses 2016 A Biomimetic, Energy-Harvesting, Obstacle-Avoiding, Path- Planning Algorithm for UAVs Snorri Gudmundsson Follow this and additional works at: https://commons.erau.edu/edt Part of the Automotive Engineering Commons, and the Mechanical Engineering Commons Scholarly Commons Citation Gudmundsson, Snorri, "A Biomimetic, Energy-Harvesting, Obstacle-Avoiding, Path-Planning Algorithm for UAVs" (2016). Dissertations and Theses. 306. https://commons.erau.edu/edt/306 This Dissertation - Open Access is brought to you for free and open access by Scholarly Commons. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of Scholarly Commons. For more information, please contact [email protected]. A BIOMIMETIC, ENERGY-HARVESTING, OBSTACLE-AVOIDING, PATH-PLANNING ALGORITHM FOR UAVs A DISSERTATION SUBMITTED TO THE DEPARTMENT OF MECHANICAL ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES OF EMBRY-RIDDLE AERONAUTICAL UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Snorri Gudmundsson 2016 © Copyright by Snorri Gudmundsson, 2016 All Rights Reserved ii THIS PAGE INTENTIONALLY LEFT BLANK iv ABSTRACT This dissertation presents two new approaches to energy harvesting for Unmanned Aerial Vehicles (UAV). One method is based on the Potential Flow Method (PFM); the other method seeds a wind-field map based on updraft peak analysis and then applies a variant of the Bellman-Ford algorithm to find the minimum-cost path. Both methods are enhanced by taking into account the performance characteristics of the aircraft using advanced performance theory. The combined approach yields five possible trajectories from which the one with the minimum energy cost is selected. The dissertation concludes by using the developed theory and modeling tools to simulate the flight paths of two small Unmanned Aerial Vehicles (sUAV) in the 500 kg and 250 kg class. -
World's Most Advanced Supercapacitors
Supercapacitors For Load-Levelling In Hybrid Vehicles G.L. Paul cap-xx Pty. Ltd., Villawood NSW, 2163 Australia A.M. Vassallo CSIRO Division of Coal & Energy Technology, North Ryde NSW, 2113 Australia Introduction There is increasing interest world-wide in the use of so-called "hybrid vehicles" for improved fuel economy, lower emissions and sustainable energy use. Hybrid vehicles are difficult to define but can be broadly described as vehicles that use a combination of technologies for power generation and energy storage. In particular, parallel and series hybrids are widely discussed and consist of an auxiliary power unit (APU) mechanically connected to the driven wheels or with no direct mechanical connection respectively. Series hybrids offer significant advantages over parallel hybrids, such as mechanical simplicity, design flexibility and modularity allowing easier incorporation of technological advances (Gosden, 1996). Hybrid electric vehicles (HEV) are now under development in many countries (Lovins, 1997). Energy storage is a critical component of any hybrid vehicle. The options for energy storage include batteries, supercapacitors, flywheels and hydraulic devices. Batteries can provide high energy density (eg Li-ion up to 100Wh/kg, Pb-acid 25 Wh/kg) but only relatively low power density (eg 300 W/kg for commercial Pb-acid). Flywheels are still under development and require some significant technological advances before their widespread use can be envisaged. Supercapacitors are the only technology available today that can provide high power capability, ie over 1kW/kg, with long life at reasonable cost. Supercapacitors also have other features that make them attractive for use in hybrid electric vehicles such as their ability to be used for regenerative braking (energy efficiency), maintenance-free operation, high electrical efficiency and low toxicity with easy disposal. -
Battery/Supercapacitor Hybrid Via Non-Covalent Functionalization of Graphene Macro-Assemblies
Electronic Supplementary Material (ESI) for Journal of Materials Chemistry A. This journal is © The Royal Society of Chemistry 2014 Supporting Information For: Battery/Supercapacitor Hybrid via Non-Covalent Functionalization of Graphene Macro-Assemblies Patrick G. Campbell*, Matthew D. Merrill, Brandon C. Wood, Elizabeth Montalvo, Marcus A. Worsley, Theodore F. Baumann, Juergen Biener Contents: GMA synthesis details.......................................................................................................S2 Experimental details for Figure 4 (Ragone plot) ...............................................................S2 Theoretical calculation details ...........................................................................................S3 Figure S1............................................................................................................................S4 Figure S2............................................................................................................................S5 Figure S3............................................................................................................................S6 Figure S4............................................................................................................................S7 Figure S5............................................................................................................................S8 References..........................................................................................................................S9