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Energy management and optimization of PEMFC/battery mobile robot based on hybrid rule strategy and AMPSO

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  • Xueqin Lü,
  • Wu, Yinbo
  • Lian, Jie
  • Zhang, Yangyang

Abstract

Due to the flexibility of seam tracking robot in special environment, independent power supply with different characteristics is adopted. Power allocation of hybrid power system composed of proton exchange membrane fuel cell and lithium battery is mainly researched. According to the requirements of economy and safety, hybrid rule fuzzy state machine control is designed to realize the optimal operation and fast response of power supply system. On the basis of energy allocation, further reduction of hydrogen consumption and power fluctuation is considered, which improves the power supply scheme. The sensitivity analysis method is used to screen the optimization variables, which reduces the complexity of the strategy; in addition, an adaptive mutation particle swarm optimization is studied to optimize the strategy, which combines the mutation idea, adaptively changes the weight and learning factor, and realizes the minimization of power fluctuation and equivalent hydrogen consumption. The results show that the stability of fuel cell and the rationality of lithium battery charging and discharging are greatly improved, and the fuel economy and service life of hybrid power system are improved.

Suggested Citation

  • Xueqin Lü, & Wu, Yinbo & Lian, Jie & Zhang, Yangyang, 2021. "Energy management and optimization of PEMFC/battery mobile robot based on hybrid rule strategy and AMPSO," Renewable Energy, Elsevier, vol. 171(C), pages 881-901.
    • Handle: RePEc:eee:renene:v:171:y:2021:i:c:p:881-901
    DOI: 10.1016/j.renene.2021.02.135
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    1. Lü, Xueqin & Meng, Ruidong & Deng, Ruiyu & Long, Liyuan & Wu, Yinbo, 2022. "Energy economy optimization and comprehensive performance improvement for PEMFC/LIB hybrid system based on hierarchical optimization," Renewable Energy, Elsevier, vol. 193(C), pages 1132-1149.
    2. Fan, Lixin & Liu, Yang & Luo, Xiaobing & Tu, Zhengkai & Chan, Siew Hwa, 2023. "Comparison and evaluation of mega watts proton exchange membrane fuel cell combined heat and power system under different waste heat recovery methods," Renewable Energy, Elsevier, vol. 210(C), pages 295-305.
    3. Wang, Congyu & Song, Jiwei, 2023. "Performance assessment of the novel coal-fired combined heat and power plant integrating with flexibility renovations," Energy, Elsevier, vol. 263(PC).
    4. Lü, Xueqin & Deng, Ruiyu & Chen, Chao & Wu, Yinbo & Meng, Ruidong & Long, Liyuan, 2022. "Performance optimization of fuel cell hybrid power robot based on power demand prediction and model evaluation," Applied Energy, Elsevier, vol. 316(C).

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