Research on Energy Management Strategy of Fuel Cell Vehicle Based on Multi-Dimensional Dynamic Programming

Yanwei Liu, Jiansheng Liang, Jiaqing Song and Jie Ye
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Yanwei Liu: School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510640, China
Jiansheng Liang: School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510640, China
Jiaqing Song: School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510640, China
Jie Ye: School of Mechatronics Engineering, Foshan University, Foshan 528225, China

Energies, 2022, vol. 15, issue 14, 1-20

Abstract: The powertrain of a fuel cell vehicle typically consists of two energy sources: a proton electrolyte membrane fuel cell (PEMFC) stack and a battery package. In this paper, multi-dimensional dynamic programming (MDDP) is used to solve the energy management strategy (EMS) of fuel cell hybrid powertrain. This study built a fuel cell hybrid powertrain model, in which the battery model is built based on the Thevenin equivalent circuit. In order to improve the calculating efficiency and maintain the accuracy of the algorithm, the state variables in each stage are divided into primary and secondary. In the reverse solution process, the corresponding relationship between the multi state variables grid and the optimal cumulative function has been changed from three-dimensional to two-dimensional. The EMS based on MDDP is applied to component sizing of a commercial vehicle. Simulations were conducted using MATLAB under the C-WTVC working condition. By analyzing the fuel economy and system durability, the optimal component combination of comprehensive performance is obtained. Compared with the EMS based on dynamic programming (DP), the proposed method effectively improves the calculation accuracy: the hydrogen consumption can be reduced by 3.10%, and the durability of the fuel cell and battery can be improved by 1.08% and 0.13%, respectively.

Keywords: fuel cell; energy management strategy; dynamic programming; component sizing (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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