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Research on Energy Management Strategy for Hydrogen Fuel Cell Hybrid Vehicles Based on TD3-PER
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Zhihao Yu1, Youqun Zhao1, Chenbing Pan1, 2, Kunpeng He1, 3, Danyang Li1
Automobile Technology | 2024, (1) : 13 - 19
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Automobile Technology | 2024, (1): 13-19
Research on Energy Management Strategy for Hydrogen Fuel Cell Hybrid Vehicles Based on TD3-PER
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Zhihao Yu1, Youqun Zhao1, Chenbing Pan1, 2, Kunpeng He1, 3, Danyang Li1
Affiliations
  • 1 Nanjing University of Aeronautics and Astronautics, Nanjing 210016
  • 2 Anhui Ruiqing Power Technology Co., Ltd., Wuhu 241002
  • 3 Chery New Energy Vehicle Co., Ltd., Wuhu 241000
Published: 2024-01-24 doi: 10.19620/j.cnki.1000-3703.20230350
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To optimize the fuel economy and auxiliary power battery performance of hydrogen fuel cell hybrid vehicles, this article proposed an energy management strategy based on Twin Delayed Deep Deterministic policy gradient with Prioritized Experience Replay (TD3-PER). Adopting the Twin Delayed Deep Deterministic policy gradient (TD3) algorithm, it achieves more accurate continuous control while preventing training over estimation. By combining the Prioritized Experience Replay (PER) algorithm, the training of the strategy is accelerated while achieving better optimization performance. The simulation results show that compared with the Deep Deterministic Policy Gradient (DDPG) algorithm, the proposed TD3-PER energy management strategy reduces hydrogen consumption by 5.47% per 100 kilometers and average power fluctuation by 6.49%.

Hydrogen fuel cell hybrid vehicles  /  Prioritized Experience Replay (PER)  /  Twin Delayed Deep Deterministic policy gradient (TD3)  /  Continuous control
Zhihao Yu, Youqun Zhao, Chenbing Pan, Kunpeng He, Danyang Li. Research on Energy Management Strategy for Hydrogen Fuel Cell Hybrid Vehicles Based on TD3-PER[J]. Automobile Technology, 2024 , (1) : 13 -19 . DOI: 10.19620/j.cnki.1000-3703.20230350
Year 2024 volume Issue 1
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doi: 10.19620/j.cnki.1000-3703.20230350
  • Online Date:2025-12-25
  • Published:2024-01-24
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    1 Nanjing University of Aeronautics and Astronautics, Nanjing 210016
    2 Anhui Ruiqing Power Technology Co., Ltd., Wuhu 241002
    3 Chery New Energy Vehicle Co., Ltd., Wuhu 241000
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表12种不同金属材料的力学参数

Family
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Number of
genus
种数
Number of
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占总种数比例
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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