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Development of Next Generation Fuel Cell Bus: Investigation of Configuration Impact and Control Strategy Development
Technical Paper
2022-01-0691
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The emergence of fuel cell powertrains has opened up new pathways to net-zero greenhouse gas emissions across a number of sectors, including public transport. However, while these technologies are gaining momentum, they are mostly still in their infancy with a range of fundamental challenges which still need to be addressed. The typical configuration deployed in bus applications requires integration with other fast-response power sources, e.g., battery and/or ultra-capacitor, to effectively manage power delivery. However, implementation of such hybrid energy storage systems (ESSs) complicates the design and control of the vehicle powertrains. In this work, a concept fuel cell bus vehicle powertrain configuration has been constructed first using Matlab/Simulink which can be used to explore the impact of various ESS hybridization strategies, and their effectiveness in power management. Three variants have been studied: [I] fuel cell + battery; [II] fuel cell + ultra-capacitor and [III] fuel cell + battery + ultra-capacitor. A unified global energy management strategy (EMS) based on dynamic programming (DP) has been developed and deployed in the simulated bus powertrain models to understand the practicalities of the three EMS configurations, and the potential advantages and constraints associated with each, offering guide for practical EMS development. Using an explicit equivalent consumption minimization strategy (eECMS), tailored EMSs are developed for three configurations which optimize the power split between the available power sources in real time, and the enhanced performance are achieved benchmarked against other energy management solutions in the compare study. Comparison of results manifests great advantage of the novel instant EMSs in energy consumption saving.
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Zhang, Y., Blades, L., Early, J., Cunningham, G. et al., "Development of Next Generation Fuel Cell Bus: Investigation of Configuration Impact and Control Strategy Development," SAE Technical Paper 2022-01-0691, 2022, https://doi.org/10.4271/2022-01-0691.Also In
References
- Bonsu , N.O. Towards a Circular and Low-Carbon Economy: Insights from the Transitioning to Electric Vehicles and Net Zero Economy Journal of Cleaner Production 256 2020 120659
- Albrecht , M. , Nilsson , M. , and Ã…kerman , J. 2012
- Ehsani , M. , Gao , Y. , Longo , S. , and Ebrahimi , K.M. Modern Electric, Hybrid Electric, and Fuel Cell Vehicles CRC Press 2018
- Hu , Z. , Li , J. , Xu , L. , Song , Z. et al. Multi-Objective Energy Management Optimization and Parameter Sizing for Proton Exchange Membrane Hybrid Fuel Cell Vehicles Energy Conversion and Management 129 2016 108 121
- Sulaiman , N. , Hannan , M.A. , Mohamed , A. , Ker , P.J. et al. Optimization of Energy Management System for Fuel-Cell Hybrid Electric Vehicles: Issues and Recommendations Applied Energy 228 2018 2061 2079
- Schell , A. , Peng , H. , Tran , D. , Stamos , E. et al. Modelling and Control Strategy Development for Fuel Cell Electric Vehicles Annual Reviews in Control 29 1 2005 159 168
- Geng , C. , Jin , X. , and Zhang , X. Simulation Research on a Novel Control Strategy for Fuel Cell Extended-Range Vehicles International Journal of Hydrogen Energy 44 1 2019 408 420
- Sun , H. , Fu , Z. , Tao , F. , Zhu , L. et al. Data-Driven Reinforcement-Learning-Based Hierarchical Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles Journal of Power Sources 455 2020 227964
- Wang , Y. , Advani , S.G. , and Prasad , A.K. A Comparison of Rule-Based and Model Predictive Controller-Based Power Management Strategies for Fuel Cell/Battery Hybrid Vehicles Considering Degradation International Journal of Hydrogen Energy 45 58 2020 33948 33956
- Hemi , H. , Ghouili , J. , and Cheriti , A. A Real Time Fuzzy Logic Power Management Strategy for a Fuel Cell Vehicle Energy Conversion and Management 80 2014 63 70
- Zhu , D. , Pritchard , E. , Dadam , S.R. , Kumar , V. et al. Optimization of Rule-Based Energy Management Strategies for Hybrid Vehicles Using Dynamic Programming Combustion Engines 184 1 2021 3 10
- Li , H. , Ravey , A. , N'Diaye , A. , and Djerdir , A. A Novel Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicle Powered by Fuel Cell, Battery and Supercapacitor Journal of Power Sources 395 2018 262 270
- Quan , S. , Wang , Y.X. , Xiao , X. , He , H. et al. Real-Time Energy Management for Fuel Cell Electric Vehicle Using Speed Prediction-Based Model Predictive Control Considering Performance Degradation Applied Energy 304 2021 117845
- Reddy , N.P. , Pasdeloup , D. , Zadeh , M.K. , and Skjetne , R. An Intelligent Power and Energy Management System for Fuel Cell/Battery Hybrid Electric Vehicle Using Reinforcement Learning 2019 IEEE Transportation Electrification Conference and Expo (ITEC) 2019 1 6 IEEE
- Musardo , C. , Rizzoni , G. , Guezennec , Y. , and Staccia , B. A-ECMS: An adaptive Algorithm for Hybrid Electric Vehicle Energy Management European Journal of Control 11 4-5 2005 509 524
- Lei , Z. , Qin , D. , Hou , L. , Peng , J. et al. An Adaptive Equivalent Consumption Minimization Strategy for Plug-In Hybrid Electric Vehicles Based on Traffic Information Energy 190 2020 116409
- Paganelli , G. , Tateno , M. , Brahma , A. , Rizzoni , G. et al. Control Development for a Hybrid-Electric Sport-Utility Vehicle: Strategy, Implementation and Field Test Results Proceedings of the 2001 American Control Conference (Cat. No. 01CH37148) 6 2001 5064 5069
- Mirjalili , S. and Lewis , A. The Whale Optimization Algorithm Advances in Engineering Software 95 2016 51 67