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Sensitivity analysis and optimization of operating conditions of proton exchange membrane fuel cell

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Abstract

Power characteristics are important indicators of fuel cell performance. In the actual operation of fuel cells, changes in operating conditions lead to variations in their power characteristics. Therefore, it is imperative to explore the impact of operating conditions on power characteristics. This paper analyzes the factors influencing fuel cell power and uses sensitivity analysis to investigate how different factors affect fuel cell performance. The operating parameters are optimized using a Bayesian-optimized Gaussian process regression model. The research results indicate that temperature has the greatest impact on fuel cell power, followed by stoichiometry and backpressure. The Bayesian-optimized Gaussian process regression model performs the best, reducing its RSME from 0.1 to 0.0556. Residual analysis and regression characteristic analysis verify the optimized model's improved fitting and regression characteristics. Based on the Bayesian–Gaussian process regression model, the optimized operating parameters are obtained for maximum power: a temperature of 80 °C, stoichiometry of 4, and backpressure of 1.7 bar. This paper provides theoretical support for improving fuel cell performance.

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All data, models, and code generated or used during the study appear in the submitted article.

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Author notes

  1. Chonlatee Photong and Jianbin Su have the same contribution to this study.

Authors and Affiliations

  1. Fujian Polytechnic of Information Technology, Fujian, 350003, China

    Xiangrong Liao

  2. Faculty of Engineering, Mahasarakham University, Maha Sarakham, 44160, Thailand

    Chonlatee Photong

  3. Fuzhou Polytechnic, Fujian, 350108, China

    Jianbin Su

Authors
  1. Xiangrong Liao
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  2. Chonlatee Photong
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  3. Jianbin Su
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Contributions

X. L. wrote the main manuscript text and C.P. and J.S. checked the grammar of the manuscript. All authors reviewed the manuscript.

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Correspondence to Chonlatee Photong or Jianbin Su.

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Liao, X., Photong, C. & Su, J. Sensitivity analysis and optimization of operating conditions of proton exchange membrane fuel cell. J Appl Electrochem (2024). https://doi.org/10.1007/s10800-024-02130-y

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