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Analysis and control strategy design for PEMFC purging process

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  • Pei, Yaowang
  • Chen, Fengxiang
  • Jiao, Jieran
  • Liu, Shiguang

Abstract

In this study, a lumped-parameter model for shutdown purging has been developed using MATLAB/Simulink®. Data gleaned from actual operational scenarios on a fuel cell experimental platform serve as the basis for parameter identification within the model. The study encompasses a comparative analysis of purging processes under various operational parameters, including stack temperatures, purging currents, and purging flow rates. Moreover, an innovative purging strategy is proposed, employing an open-loop control mechanism to modulate the purging flow rate. The analysis reveals that an elevated stack temperature and a reduced purging current markedly enhance purging efficiency and diminish the water content at equilibrium. A negative correlation is observed between purging time and purging flow rate, with energy consumption demonstrating a U-shaped pattern across different flow rates. According to the proposed purging strategy, the optimal purging flow rate is ascertained through a Multi-dimensional Array Programming (MAP) lookup. This lookup is contingent upon stack temperature, purging current, and initial membrane water content. Validation confirms that this strategy not only truncates the purging duration but also curtails the system energy expenditure. These analytical insights and the newly-formulated purging strategy hold both theoretical and pragmatic implications for optimizing stack shutdown purging operations and advancing future purging methodologies.

Suggested Citation

  • Pei, Yaowang & Chen, Fengxiang & Jiao, Jieran & Liu, Shiguang, 2024. "Analysis and control strategy design for PEMFC purging process," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544224000045
    DOI: 10.1016/j.energy.2024.130233
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    References listed on IDEAS

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    1. Asensio, F.J. & San Martín, J.I. & Zamora, I. & Garcia-Villalobos, J., 2017. "Fuel cell-based CHP system modelling using Artificial Neural Networks aimed at developing techno-economic efficiency maximization control systems," Energy, Elsevier, vol. 123(C), pages 585-593.
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    8. Xu, Jiamin & Zhang, Caizhi & Wan, Zhongmin & Chen, Xi & Chan, Siew Hwa & Tu, Zhengkai, 2022. "Progress and perspectives of integrated thermal management systems in PEM fuel cell vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
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    1. Xu, Haisong & Wang, Lei & Xie, Lei & Su, Hongye & Lu, Jianshan & Liu, Zhiyang, 2024. "Freeze start of proton exchange membrane fuel cell systems with closed-loop purging and improved voltage consistency," Applied Energy, Elsevier, vol. 374(C).
    2. Pei, Yaowang & Chen, Fengxiang & Jiao, Jieran & Ye, Huan & Zhang, Caizhi & Jiang, Xiaojie, 2024. "Fuel cell temperature control based on nonlinear transformation mitigating system nonlinearity," Renewable Energy, Elsevier, vol. 230(C).

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    Keywords

    PEMFC; Cold start; Purge; Simulation;
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