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| Power system matching and energy management of fuel cell vehicle |
| XIAO Zhe, WANG Yuning, ZHAO Guoqiang, HUANG Bin |
| School of Automotive Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China |
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Abstract To analyze the impact of the power system parameter matching design and energy management scheme on the vehicle performance, taking a fuel cell vehicle as research object, the parameters of main power system components were matched. The power-following energy management strategy and the fuzzy control-based energy management strategy were proposed to improve the economic performance of the vehicle, and the sliding average filtering algorithm was used to optimize the output of the fuzzy control strategy. To model the vehicle and energy management system, the joint simulation platform was established based on AVL-Cruise and Simulink to verify the power performance of the vehicle, and the economic performance of the vehicle under three control strategies was comparatively analyzed. The results show that the fuel cell output power curve of the optimized energy management strategy is smoother and is always within the high-efficiency output interval. Based on the principle of fuel cell priority protection, the optimized energy management strategy has the best performance.
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Received: 20 April 2022
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| ［1］ |
SONG K, DING Y H, HU X, et al. Degradation adaptive energy management strategy using fuel cell state-of-health for fuel economy improvement of hybrid electric vehicle [J]. Applied Energy, DOI: 10.1016/j.apenergy.2020.116413.
|
| ［2］ |
LI W G, FENG G S, JIA S M, et al. Research on multi-energy management system of fuel cell vehicle based on fuzzy control [J]. Journal of Intelligent & Fuzzy Systems, 2021,40(4):6205-6217.
|
| ［3］ |
KANDIDAYENI M, MACIAS A, BOULON L. Efficiency upgrade of hybrid fuel cell vehicles′ energy management strategies by online systemic management of fuel cell [J]. IEEE Transactions on Industrial Electronics,2021,68(6):4941-4953.
|
| ［4］ |
刘世闯,孙桓五,王瑞鑫,等. 大功率型氢燃料电池重卡动力系统匹配设计 [J]. 汽车工程, 2021,43(2):196-203.
|
|
LIU S C, SUN H W, WANG R X, et al. Matching design of power system for high power hydrogen fuel cell heavy-duty truck [J]. Automotive Engineering, 2021,43(2):196-203.(in Chinese)
|
| ［5］ |
杨坤,王杰,肖军生,等. 某B级燃料电池电动汽车匹配设计研究 [J]. 汽车工程学报, 2018,8(6):399-406.
|
|
YANG K, WANG J, XIAO J S, et al. Study on the matching and design of a B-class fuel cell electric vehicle [J]. Chinese Journal of Automotive Engineering, 2018,8(6):399-406.(in Chinese).
|
| ［6］ |
HU X, LIU S K, SONG K, et al. Novel fuzzy control energy management strategy for fuel cell hybrid electric vehicles considering state of health [J]. Energies, DOI:10.3390/en14206481.
|
| ［7］ |
GAO J W, LI M, HU Y F, et al. Challenges and deve-lopments of automotive fuel cell hybrid power system and control [J]. Science China(Information Sciences), 2019,62(5):50-74.
|
| ［8］ |
黄英英,文雪峰. 燃料电池汽车动力系统匹配方法研究 [J]. 重型汽车, 2021(3):13-14.
|
|
HUANG Y Y, WEN X F. Research on matching me-thod of fuel cell vehicle power system [J]. Heavy Truck, 2021(3):13-14.(in Chinese)
|
| ［9］ |
孟祥飞. 增程式燃料电池电动汽车控制策略研究与开发 [D]. 天津：天津科技大学, 2020.
|
| ［10］ |
王瑞鑫. 大功率型燃料电池重卡动力系统匹配设计与能量管理策略研究 [D]. 太原: 太原理工大学, 2021.
|
| ［11］ |
DENG K, LIU Y X, HAI D, et al. Deep reinforcement learning based energy management strategy of fuel cell hybrid railway vehicles considering fuel cell aging [J]. Energy Conversion and Management, DOI:10.1016/j.enconman.2021.115030.
|
| ［12］ |
SHEN D, LIM C C, SHI P. Fuzzy model based control for energy management and optimization in fuel cell vehicles [J].IEEE Transactions on Vehicular Technology, 2020, 69(12): 14674-14688.
|
| ［13］ |
ZHAO Z, WANG T, LI M,et al. Optimization of fuzzy control energy management strategy for fuel cell vehicle power system using a multi-islandgenetic algorithm [J]. Energy Science & Engineering, 2021,9(4):548-564.
|
| ［14］ |
赵勇,谢金法,时佳威,等. 考虑燃料电池耐久性的FCHV复合能量管理策略 [J]. 现代制造工程, 2020(4):70-76，158.
|
|
ZHAO Y, XIE J F, SHI J W,et al. Energy management strategy of FCHV considering fuel cell durability [J]. Modern Manufacturing Engineering, 2020(4):70-76，158.(in Chinese)
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2024, Vol. 45 
