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A review of online electrochemical diagnostic methods of on-board proton exchange membrane fuel cells

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  • Zhang, Xiaojie
  • Zhang, Tong
  • Chen, Huicui
  • Cao, Yinliang

Abstract

With the development of on-board proton exchange membrane fuel cells and their commercial applications, the performance and durability of on-board proton exchange membrane fuel cells are increasingly demanding. The existing laboratory-based offline electrochemical diagnosis of proton exchange membrane fuel cells cannot fully meet the online diagnosis requirements of on-board proton exchange membrane fuel cells. The development and application of on-board diagnostic methods are very important and necessary to improve the performance and durability of proton exchange membrane fuel cells. This review compares the common electrochemical diagnostic methods of on-board proton exchange membrane fuel cells and establishes a demand framework for online electrochemical diagnosis of on-board proton exchange membrane fuel cell stacks. Through the combination of the above two aspects, the purpose of this article is to study the most suitable electrochemical diagnostic method for on-line diagnosis of on-board proton exchange membrane fuel cell stacks. The results show that optimized electrochemical impedance spectroscopy based on dynamic multi-frequency analysis might be the most suitable diagnostic method for online diagnosis of on-board proton exchange membrane fuel cells tacks. Future developments of the method are prospected in order to achieve better diagnostic performance.

Suggested Citation

  • Zhang, Xiaojie & Zhang, Tong & Chen, Huicui & Cao, Yinliang, 2021. "A review of online electrochemical diagnostic methods of on-board proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 286(C).
    • Handle: RePEc:eee:appene:v:286:y:2021:i:c:s0306261921000441
    DOI: 10.1016/j.apenergy.2021.116481
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    References listed on IDEAS

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    Cited by:

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    2. Heng Zhang & Zhongyong Liu & Weilai Liu & Lei Mao, 2022. "Diagnosing Improper Membrane Water Content in Proton Exchange Membrane Fuel Cell Using Two-Dimensional Convolutional Neural Network," Energies, MDPI, vol. 15(12), pages 1-15, June.
    3. Pei, Pucheng & Meng, Yining & Chen, Dongfang & Ren, Peng & Wang, Mingkai & Wang, Xizhong, 2023. "Lifetime prediction method of proton exchange membrane fuel cells based on current degradation law," Energy, Elsevier, vol. 265(C).
    4. Yuan, Hao & Dai, Haifeng & Ming, Pingwen & Wang, Xueyuan & Wei, Xuezhe, 2021. "Quantitative analysis of internal polarization dynamics for polymer electrolyte membrane fuel cell by distribution of relaxation times of impedance," Applied Energy, Elsevier, vol. 303(C).
    5. Pedro Andrade & Khaled Laadjal & Adérito Neto Alcaso & Antonio J. Marques Cardoso, 2024. "A Comprehensive Review on Condition Monitoring and Fault Diagnosis in Fuel Cell Systems: Challenges and Issues," Energies, MDPI, vol. 17(3), pages 1-45, January.
    6. Ćalasan, Martin & Micev, Mihailo & Hasanien, Hany M. & Abdel Aleem, Shady H.E., 2024. "PEM fuel cells: Two novel approaches for mathematical modeling and parameter estimation," Energy, Elsevier, vol. 290(C).
    7. Ćalasan, Martin & Abdel Aleem, Shady H.E. & Hasanien, Hany M. & Alaas, Zuhair M. & Ali, Ziad M., 2023. "An innovative approach for mathematical modeling and parameter estimation of PEM fuel cells based on iterative Lambert W function," Energy, Elsevier, vol. 264(C).
    8. Yue, Meiling & Lambert, Hugo & Pahon, Elodie & Roche, Robin & Jemei, Samir & Hissel, Daniel, 2021. "Hydrogen energy systems: A critical review of technologies, applications, trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    9. Dong Zhu & Yanbo Yang & Tiancai Ma, 2022. "Evaluation the Resistance Growth of Aged Vehicular Proton Exchange Membrane Fuel Cell Stack by Distribution of Relaxation Times," Sustainability, MDPI, vol. 14(9), pages 1-19, May.
    10. Ren, Peng & Meng, Yining & Pei, Pucheng & Fu, Xi & Chen, Dongfang & Li, Yuehua & Zhu, Zijing & Zhang, Lu & Wang, Mingkai, 2023. "Rapid synchronous state-of-health diagnosis of membrane electrode assemblies in fuel cell stacks," Applied Energy, Elsevier, vol. 330(PA).
    11. Fu, Jianqin & Wang, Huailin & Sun, Xilei & Bao, Huanhuan & Wang, Xun & Liu, Jingping, 2024. "Multi-objective optimization for impeller structure parameters of fuel cell air compressor using linear-based boosting model and reference vector guided evolutionary algorithm," Applied Energy, Elsevier, vol. 363(C).

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