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A temperature fluctuation suppression control method of fuel cell vehicles to reduce hydrogen consumption

Author

Listed:
  • Hu, Donghai
  • Hou, Wenshuo
  • Cheng, Zhaoxu
  • Feng, Chunxiao
  • Lu, Dagang
  • Yi, Fengyan
  • Yang, Qingqing
  • Li, Jianwei
  • Wang, Jing

Abstract

During the driving of the fuel cell vehicles, temperature fluctuations occur in the Proton Exchange Membrane Fuel Cell (PEMFC), whose output efficiency decreases and hydrogen consumption increases. Rule-based (RB) and proportional-integral-derivative (PID) controllers can roughly suppress the temperature fluctuation, but they cannot perform multi-objective optimization, which cannot reduce hydrogen consumption at the same time. To solve this problem, in the first step of this paper, the hydrogen consumption factor and the temperature fluctuation factor in the operating temperature control are introduced to design the DDQN controller. In the second step of this paper, the DDQN controller is trained offline and verified under simulation conditions. The simulation results show that compared with the RB controller and PID controller, the average temperature fluctuation of the DDQN controller is reduced by 27.27 % and 28.50 %, and the hydrogen consumption is saved by 1.78 % and 2.58 %, respectively. The research in this paper is innovative in that it reduces the hydrogen consumption of PEMFC and improves the driving range of fuel cell vehicles from a specific point of view.

Suggested Citation

  • Hu, Donghai & Hou, Wenshuo & Cheng, Zhaoxu & Feng, Chunxiao & Lu, Dagang & Yi, Fengyan & Yang, Qingqing & Li, Jianwei & Wang, Jing, 2024. "A temperature fluctuation suppression control method of fuel cell vehicles to reduce hydrogen consumption," Energy, Elsevier, vol. 305(C).
  • Handle: RePEc:eee:energy:v:305:y:2024:i:c:s0360544224021522
    DOI: 10.1016/j.energy.2024.132378
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    References listed on IDEAS

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    1. Tiancai Ma & Weikang Lin & Yanbo Yang & Ming Cong & Zhuoping Yu & Qiongqiong Zhou, 2019. "Research on Control Algorithm of Proton Exchange Membrane Fuel Cell Cooling System," Energies, MDPI, vol. 12(19), pages 1-15, September.
    2. Kandidayeni, M. & Macias, A. & Boulon, L. & Kelouwani, S., 2020. "Investigating the impact of ageing and thermal management of a fuel cell system on energy management strategies," Applied Energy, Elsevier, vol. 274(C).
    3. Guo, Xiaokai & Yan, Xianguo & Chen, Zhi & Meng, Zhiyu, 2022. "Research on energy management strategy of heavy-duty fuel cell hybrid vehicles based on dueling-double-deep Q-network," Energy, Elsevier, vol. 260(C).
    4. Shusheng Xiong & Zhankuan Wu & Wei Li & Daize Li & Teng Zhang & Yu Lan & Xiaoxuan Zhang & Shuyan Ye & Shuhao Peng & Zeyu Han & Jiarui Zhu & Qiujie Song & Zhixiao Jiao & Xiaofeng Wu & Heqing Huang, 2021. "Improvement of Temperature and Humidity Control of Proton Exchange Membrane Fuel Cells," Sustainability, MDPI, vol. 13(19), pages 1-14, September.
    5. Lu, Dagang & Yi, Fengyan & Hu, Donghai & Li, Jianwei & Yang, Qingqing & Wang, Jing, 2023. "Online optimization of energy management strategy for FCV control parameters considering dual power source lifespan decay synergy," Applied Energy, Elsevier, vol. 348(C).
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