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Investigation of local sensitivity for vehicle-oriented fuel cell stacks based on electrochemical impedance spectroscopy

Author

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  • Zhao, Lei
  • Hong, Jichao
  • Xie, Jiaping
  • Jiang, Shangfeng
  • Wei, Xuezhe
  • Ming, Pingwen
  • Dai, Haifeng

Abstract

The lifetime of fuel cells is a severe constraint on fuel cell industrialization, which is significantly influenced by the consistency of the fuel cell stack. This paper is the first to measure the impedance of a whole high-power fuel cell stack throughout its ten equal areas based on a multi-channel impedance test system. Based on the equivalent circuit model combined with the relaxation time distribution, the differences in the local polarization dynamics processes of the stack and its sensitivity to working condition variations are analyzed in detail. Additionally, the Pearson correlation between the local voltage and internal state parameters is quantified. The results show that the distribution characteristics of the local polarization dynamics losses are inherent to the stack structure and assembly errors, but are less influenced by the working conditions without extreme conditions. Furthermore, the robust correlations between the local voltage and the internal ohmic resistance and oxygen diffusion resistances in the stack are revealed. More importantly, this study would support the variance assessment of the internal state based on the local voltage, which will have comprehensive applications in controlling fuel cell systems.

Suggested Citation

  • Zhao, Lei & Hong, Jichao & Xie, Jiaping & Jiang, Shangfeng & Wei, Xuezhe & Ming, Pingwen & Dai, Haifeng, 2023. "Investigation of local sensitivity for vehicle-oriented fuel cell stacks based on electrochemical impedance spectroscopy," Energy, Elsevier, vol. 262(PA).
    • Handle: RePEc:eee:energy:v:262:y:2023:i:pa:s0360544222022630
    DOI: 10.1016/j.energy.2022.125381
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    as
    1. Baricci, Andrea & Mereu, Riccardo & Messaggi, Mirko & Zago, Matteo & Inzoli, Fabio & Casalegno, Andrea, 2017. "Application of computational fluid dynamics to the analysis of geometrical features in PEM fuel cells flow fields with the aid of impedance spectroscopy," Applied Energy, Elsevier, vol. 205(C), pages 670-682.
    2. Siracusano, Stefania & Baglio, Vincenzo & Van Dijk, Nicholas & Merlo, Luca & Aricò, Antonino Salvatore, 2017. "Enhanced performance and durability of low catalyst loading PEM water electrolyser based on a short-side chain perfluorosulfonic ionomer," Applied Energy, Elsevier, vol. 192(C), pages 477-489.
    3. Li, Sida & Wei, Xuezhe & Jiang, Shangfeng & Yuan, Hao & Ming, Pingwen & Wang, Xueyuan & Dai, Haifeng, 2022. "Hydrogen crossover diagnosis for fuel cell stack: An electrochemical impedance spectroscopy based method," Applied Energy, Elsevier, vol. 325(C).
    4. Zeng, Zezhi & Qian, Yuping & Zhang, Yangjun & Hao, Changkun & Dan, Dan & Zhuge, Weilin, 2020. "A review of heat transfer and thermal management methods for temperature gradient reduction in solid oxide fuel cell (SOFC) stacks," Applied Energy, Elsevier, vol. 280(C).
    5. Lee, Jiseung & Salihi, Hassan & Lee, Jaeseung & Ju, Hyunchul, 2022. "Impedance modeling for polymer electrolyte membrane fuel cells by combining the transient two-phase fuel cell and equivalent electric circuit models," Energy, Elsevier, vol. 239(PC).
    6. Esbo, M. Rahimi- & Ranjbar, A.A. & Rahgoshay, S.M., 2020. "Analysis of water management in PEM fuel cell stack at dead-end mode using direct visualization," Renewable Energy, Elsevier, vol. 162(C), pages 212-221.
    7. Gallo, Marco & Polverino, Pierpaolo & Mougin, Julie & Morel, Bertrand & Pianese, Cesare, 2020. "Coupling electrochemical impedance spectroscopy and model-based aging estimation for solid oxide fuel cell stacks lifetime prediction," Applied Energy, Elsevier, vol. 279(C).
    8. Ren, Peng & Pei, Pucheng & Li, Yuehua & Wu, Ziyao & Chen, Dongfang & Huang, Shangwei & Jia, Xiaoning, 2019. "Diagnosis of water failures in proton exchange membrane fuel cell with zero-phase ohmic resistance and fixed-low-frequency impedance," Applied Energy, Elsevier, vol. 239(C), pages 785-792.
    9. Bai, Xingying & Luo, Lizhong & Huang, Bi & Jian, Qifei & Cheng, Zongyi, 2022. "Performance improvement of proton exchange membrane fuel cell stack by dual-path hydrogen supply," Energy, Elsevier, vol. 246(C).
    10. Fang, Shuo & Liu, Yuntao & Zhao, Chunhui & Huang, Lilian & Zhong, Zhi & Wang, Yun, 2021. "Polarization analysis of a micro direct methanol fuel cell stack based on Debye-Hückel ionic atmosphere theory," Energy, Elsevier, vol. 222(C).
    11. Zeng, Tao & Zhang, Caizhi & Zhou, Anjian & Wu, Qi & Deng, Chenghao & Chan, Siew Hwa & Chen, Jinrui & Foley, Aoife M., 2021. "Enhancing reactant mass transfer inside fuel cells to improve dynamic performance via intelligent hydrogen pressure control," Energy, Elsevier, vol. 230(C).
    12. Movahedi, M. & Ramiar, A. & Ranjber, A.A., 2018. "3D numerical investigation of clamping pressure effect on the performance of proton exchange membrane fuel cell with interdigitated flow field," Energy, Elsevier, vol. 142(C), pages 617-632.
    13. Yuan, Hao & Dai, Haifeng & Wei, Xuezhe & Ming, Pingwen, 2020. "A novel model-based internal state observer of a fuel cell system for electric vehicles using improved Kalman filter approach," Applied Energy, Elsevier, vol. 268(C).
    14. Song, Ke & Wang, Yimin & Ding, Yuhang & Xu, Hongjie & Mueller-Welt, Philip & Stuermlinger, Tobias & Bause, Katharina & Ehrmann, Christopher & Weinmann, Hannes W. & Schaefer, Jens & Fleischer, Juergen , 2022. "Assembly techniques for proton exchange membrane fuel cell stack: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    15. 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).
    16. Hong, Jichao & Wang, Zhenpo & Yao, Yongtao, 2019. "Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    17. Li, Bing & Wan, Kechuang & Xie, Meng & Chu, Tiankuo & Wang, Xiaolei & Li, Xiang & Yang, Daijun & Ming, Pingwen & Zhang, Cunman, 2022. "Durability degradation mechanism and consistency analysis for proton exchange membrane fuel cell stack," Applied Energy, Elsevier, vol. 314(C).
    18. Wang, Yifei & Leung, Dennis Y.C. & Xuan, Jin & Wang, Huizhi, 2016. "A review on unitized regenerative fuel cell technologies, part-A: Unitized regenerative proton exchange membrane fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 961-977.
    19. Hu, Zunyan & Xu, Liangfei & Huang, Yiyuan & Li, Jianqiu & Ouyang, Minggao & Du, Xiaoli & Jiang, Hongliang, 2018. "Comprehensive analysis of galvanostatic charge method for fuel cell degradation diagnosis," Applied Energy, Elsevier, vol. 212(C), pages 1321-1332.
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