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| Energy management optimization strategy for hydrogen fuel vehicle hybrid power system |
| LIU Siyan, GE Qing |
| Photovoltaic System Control and Optimization of Hu’nan Province Engineering Laboratory, Xiangtan, Hu’nan 411104 |
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Abstract A multi-objective energy management optimization strategy based on model predictive control is proposed to address the issues of random fuel cell current output and reduced system durability faced by hybrid power systems under traditional equivalent hydrogen energy consumption management. Firstly, the hybrid power system is accurately modelled by combining the characteristics of fuel cells and power batteries. Then, a multi-objective energy management strategy is designed with the main control objectives of minimizing fuel cell current, current change rate, and power battery state of charge pulsation. By using the weighted function method to optimize the design of the system cost function for performance indicators, the optimal power allocation is obtained. The simulation results show that the proposed multi-objective energy management strategy can reduce the losses of hydrogen fuel cells by 10%, reduce the output current ripple of hydrogen fuel cells and the state of charge ripple of power cells, and improve the service life of the system.
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Received: 28 March 2024
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| Cite this article: |
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LIU Siyan,GE Qing. Energy management optimization strategy for hydrogen fuel vehicle hybrid power system[J]. Electrical Engineering, 2024, 25(9): 22-26.
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https://dqjs.cesmedia.cn/EN/Y2024/V25/I9/22
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2024, Vol. 25 
