Research on Energy Management Method of Fuel Cell/Supercapacitor Hybrid Trams Based on Optimal Hydrogen Consumption

Qingyuan Bu, Shiwei Zhang, Ning Ma, Qinghe Luo and Baigang Sun ()
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Qingyuan Bu: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Shiwei Zhang: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Ning Ma: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Qinghe Luo: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Baigang Sun: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

Sustainability, 2023, vol. 15, issue 14, 1-16

Abstract: In this paper, based on the operating states and characteristics of fuel cell/supercapacitor hybrid trams, an optimal hydrogen energy management method is proposed. This method divides the operating states into two parts: traction state and non-traction state. In the traction state, the real-time loss function of the hybrid power system, which is used to obtain the fuel cell optimal output power under the different demand powers and supercapacitor voltage, is established. In the non-traction state, the constant-power charging method, which is obtained by solving the power-voltage charging model, is used to ensure the supercapacitor voltage of the beginning-state and the end-state in an entire operation cycle are the same. The RT-LAB simulation platform is used to verify that the proposed method has the ability to control the hybrid real-time system. Using the comparative experiment between the proposed method and power-follow method, the results show that the proposed method offers a significant improvement in both fuel cell output stability and hydrogen consumption in a full operation cycle.

Keywords: fuel cells; rail transportation; hydrogen economy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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