Optimization based energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle considering fuel economy and fuel cell lifespan |
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| Affiliation: | 1. School of Information Engineering, Henan University of Science and Technology, Luoyang, China;2. Henan Key Laboratory of Robot and Intelligent Systems, Henan University of Science and Technology, Luoyang, China;1. Clean Energy Automotive Engineering Center, Tongji University, 4800 Caoan Highway, Shanghai 201804, China;2. School of Automotive Studies, Tongji University, 4800 Caoan Highway, Shanghai 201804, China;3. College of Mechanical and Electrical Engineering, Henan University of Technology, 100 Lotus Street, Zhengzhou 450007, China;1. State Key Laboratory of Mechanical Transmissions & School of Automotive Engineering, Chongqing University, 400044, Chongqing, China;2. Faculty of Transportation Engineering, Kunming University of Science and Technology, 650500, Kunming, China;3. Department of Mechanical Engineering, University of Michigan-Dearborn, Dearborn, MI, 48128, USA;1. FEMTO-ST, CNRS, Univ. Bourgogne Franche-Comte, UTBM, France;2. FCLAB, CNRS, Univ. Bourgogne Franche-Comte, France |
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| Abstract: | Optimization of energy management strategy (EMS) for fuel cell/battery/ultracapacitor hybrid electrical vehicle (FCHEV) is primarily aimed on reducing fuel consumption. However, serious power fluctuation has effect on the durability of fuel cell, which still remains one challenging barrier for FCHEVs. In this paper, we propose an optimized frequency decoupling EMS using fuzzy control method to extend fuel cell lifespan and improve fuel economy for FCHEV. In the proposed EMS, fuel cell, battery and ultracapacitor are employed to supply low, middle and high-frequency components of required power, respectively. For accurately adjusting membership functions of proposed fuzzy controllers, genetic algorithm (GA) is adopted to optimize them considering multiple constraints on fuel cell power fluctuation and hydrogen consumption. The proposed EMS is verified by Advisor-Simulink and experiment bench. Simulation and experimental results confirm that the proposed EMS can effectively reduce hydrogen consumption in three typical drive cycles, limit fuel cell power fluctuation within 300 W/s and thus extend fuel cell lifespan. |
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| Keywords: | Fuel cell electrical hybrid vehicle Energy management strategy Frequency decoupling Fuzzy control Genetic algorithm |
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