Research on the Power Distribution Method for Hybrid Power System in the Fuel Cell Vehicle

Yao He, Changchang Miao, Ji Wu, Xinxin Zheng, Xintian Liu, Xingtao Liu and Feng Han
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Yao He: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Changchang Miao: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Ji Wu: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Xinxin Zheng: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Xintian Liu: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Xingtao Liu: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Feng Han: Chongqing Changan New Energy Technology Co., Ltd., Chonging 401120, China

Energies, 2021, vol. 14, issue 3, 1-15

Abstract: The power distribution strategy of hybrid power sources is an important issue for fuel cell vehicles. A good power distribution control strategy can realize the optimal control of the vehicle energy, which can save energy and improve the operating conditions of the power source. Therefore, this article proposes a power distribution strategy. First, in order to solve the problems existing in the existing fuel cell model and the lithium-ion battery model, an improved hybrid power system model with better dynamic performance was established in the Simulink. Second, in order to ensure the durability of the power system, operation constraints are added to the distribution strategy. Finally, the power allocation is regarded as a nonlinear programming optimization problem and solved by a nonlinear programming algorithm. The nonlinear programming algorithm selects the BFGS algorithm. The simulation results of other control strategies in MATLAB show that the proposed power distribution strategy greatly improves the durability of the vehicle and has good adaptability under urban conditions. This distribution method can provide support for the actual application of offline control strategies.

Keywords: vehicle engineering; fuel cell vehicle; lithium-ion battery; power distribution; nonlinear programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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