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Adaptive rule control strategy for composite energy storage fuel cell vehicle based on vehicle operating state recognition

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  • Hu, Jianjun
  • Wang, Yangguang
  • Zou, Lingbo
  • Wang, Zhouxin

Abstract

In order to fully exploit the advantages of each energy source, prolong the lifetime of the composite energy storage system, which is composed of a fuel cell, battery, and ultracapacitor, and reduce the comprehensive operating cost of the vehicle, by analyzing the influence on the vehicle's energy economy and energy source life at different power supply sequences of energy sources, an adaptive rule control strategy based on vehicle operation state recognition is proposed for the vehicle with the composite energy storage system. This strategy can automatically select the optimal energy source supply sequence according to the current vehicle speed and acceleration. The effectiveness and superiority of the strategy are verified by comparing it with the traditional rule strategy. Additionally, the key parameters of the proposed strategy, which have a large impact on the comprehensive operating cost of the vehicle, are recognized based on sensitivity analysis and optimized by a genetic algorithm. The simulation shows that the comprehensive operating cost of the vehicle under the WLTP drive cycle is reduced by 10.94% after optimization.

Suggested Citation

  • Hu, Jianjun & Wang, Yangguang & Zou, Lingbo & Wang, Zhouxin, 2023. "Adaptive rule control strategy for composite energy storage fuel cell vehicle based on vehicle operating state recognition," Renewable Energy, Elsevier, vol. 204(C), pages 166-175.
    • Handle: RePEc:eee:renene:v:204:y:2023:i:c:p:166-175
    DOI: 10.1016/j.renene.2023.01.004
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    References listed on IDEAS

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