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Dynamic performance of a high-temperature PEM (proton exchange membrane) fuel cell – Modelling and fuzzy control of purging process

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  • Zhang, Caizhi
  • Liu, Zhitao
  • Zhang, Xiongwen
  • Chan, Siew Hwa
  • Wang, Youyi

Abstract

To improve fuel utilization of HT-PEMFC (high-temperature proton exchange membrane fuel cell), which normally operates under dead-end mode, with properly periodical purging to flush out the accumulated water vapour in the anode flow-field is necessary, otherwise the performance of HT-PEMFC would drop gradually. In this paper, a semi-empirical dynamic voltage model of HT-PEMFC is developed for controller design purpose via fitting the experimental data and validated with experimental results. Then, a fuzzy controller is designed to schedule the purging based on the obtained model. According to the result, the developed model well reflects transient characteristics of HT-PEMFC voltage and the fuzzy controller offers good performance for purging scheduling under uncertain load demands.

Suggested Citation

  • Zhang, Caizhi & Liu, Zhitao & Zhang, Xiongwen & Chan, Siew Hwa & Wang, Youyi, 2016. "Dynamic performance of a high-temperature PEM (proton exchange membrane) fuel cell – Modelling and fuzzy control of purging process," Energy, Elsevier, vol. 95(C), pages 425-432.
    • Handle: RePEc:eee:energy:v:95:y:2016:i:c:p:425-432
    DOI: 10.1016/j.energy.2015.12.019
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    References listed on IDEAS

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    Cited by:

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    2. Zeng, Tao & Zhang, Caizhi & Hu, Minghui & Chen, Yan & Yuan, Changrong & Chen, Jingrui & Zhou, Anjian, 2018. "Modelling and predicting energy consumption of a range extender fuel cell hybrid vehicle," Energy, Elsevier, vol. 165(PB), pages 187-197.
    3. Li, Yanju & Li, Dongxu & Ma, Zheshu & Zheng, Meng & Lu, Zhanghao & Song, Hanlin & Guo, Xinjia & Shao, Wei, 2022. "Performance analysis and optimization of a novel vehicular power system based on HT-PEMFC integrated methanol steam reforming and ORC," Energy, Elsevier, vol. 257(C).
    4. Zeng, Tao & Zhang, Caizhi & Hao, Dong & Cao, Dongpu & Chen, Jiawei & Chen, Jinrui & Li, Jin, 2020. "Data-driven approach for short-term power demand prediction of fuel cell hybrid vehicles," Energy, Elsevier, vol. 208(C).
    5. Sankar, K. & Thakre, Niraj & Singh, Sumit Mohan & Jana, Amiya K., 2017. "Sliding mode observer based nonlinear control of a PEMFC integrated with a methanol reformer," Energy, Elsevier, vol. 139(C), pages 1126-1143.
    6. Barzegari, Mohammad M. & Dardel, Morteza & Alizadeh, Ebrahim & Ramiar, Abas, 2016. "Reduced-order model of cascade-type PEM fuel cell stack with integrated humidifiers and water separators," Energy, Elsevier, vol. 113(C), pages 683-692.
    7. Barzegari, Mohammad M. & Alizadeh, Ebrahim & Pahnabi, Amir H., 2017. "Grey-box modeling and model predictive control for cascade-type PEMFC," Energy, Elsevier, vol. 127(C), pages 611-622.
    8. Xu, Sheng & Yin, Bifeng & Li, Zekai & Dong, Fei, 2023. "A review on gas purge of proton exchange membrane fuel cells: Mechanisms, experimental approaches, numerical approaches, and optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 172(C).

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