Simulation research on a novel control strategy for fuel cell extended-range vehicles |
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| Affiliation: | 1. Automotive Engineering Research Institute, Hefei University of Technology, Anhui, China;2. School of Electrical, Mechanical and Mechatronic Systems, University of Technology Sydney, NSW, Australia;3. Zhengzhou Yutong Bus Co., Ltd, Henan, China;1. Henan Key Laboratory of Robot and Intelligent Systems, Henan University of Science and Technology, Luoyang, 471023, China;2. School of Information Engineering, Henan University of Science and Technology, Luoyang, 471023, China;1. University of Moncton, Moncton, New Brunswick, Canada;2. University of Quebec in Trois-Rivieres, Quebec, Canada;1. School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, PR China;2. FEMTO-ST Institute (UMR CNRS 6174), Energy Department, Univ. Bourgogne Franche-Comte, UTBM Rue Thierry Mieg, F-90010 Belfort Cedex, France;3. Department of Electrical and Computer Engineering, Khalifa University of Science and Technology, Sas Al-Nakhl Campus, Abu Dhabi, United Arab Emirates |
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| Abstract: | Adapting to urban transportation and emission reduction in China, fuel cell extended-range commercial vehicles are advocated and studied, which have the advantages of no pollution and long continued driving mileage. According to the features of fuel cell extender and characteristics of the powertrain system of the electric commercial vehicle, the design principle of the extender control strategy is determined in this paper, in order to improve the power and economic performance. A simulation platform for fuel cell plus electric vehicles was established. By comparing and analyzing the characteristics of on-off control strategy, power following control strategy and fuzzy logic control strategy, an on-off power following control strategy is put forward and built which is used for extender controller, and a fuzzy algorithm of following control strategy is studied. By Simulating and analyzing on the platform, the results show that the power following fuzzy algorithm can improve the power performance with the 8.9s accelerating time (0–50 km/h) and better total mileage continued 286.7 km for the powertrain system of fuel cell extended-range commercial vehicles. The research in this paper provides a basis for the in-depth study of the energy management of electric vehicles. |
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| Keywords: | Fuel cell Extended-range commercial vehicles Powertrain system Range extender |
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