IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v325y2022ics0306261922011497.html
   My bibliography  Save this article

Hydrogen crossover diagnosis for fuel cell stack: An electrochemical impedance spectroscopy based method

Author

Listed:
  • Li, Sida
  • Wei, Xuezhe
  • Jiang, Shangfeng
  • Yuan, Hao
  • Ming, Pingwen
  • Wang, Xueyuan
  • Dai, Haifeng

Abstract

Hydrogen crossover rate is a key parameter for characterizing internal gas leakage in proton exchange membrane fuel cells. Voltammetric and galvanostatic techniques are most commonly used in measuring hydrogen crossover. However, for the present, the existing methods have the drawbacks of being laborious and time-consuming. In this paper, electrochemical impedance spectroscopy is exploited for the first time to characterize hydrogen crossover in fuel cells. An equivalent circuit model is established based on comprehensively analyzing different electrochemical processes occurring on fuel cell electrodes. By comparing the measured impedance characteristics under various experimental conditions, it is found that a unique model parameter monotonically decreases with increasing hydrogen crossover rate. Accordingly, this single parameter is identified as the diagnostic indicator for hydrogen crossover. The effectiveness of the proposed method is validated on a single cell and a multi-cell stack. Our method allows deployment to each individual cell or multiple groups of cells in a fuel cell stack. Furthermore, one entire measurement by this method takes only 4 min, and the consumed time will not increase with the number of cells in the stack. It will provide a powerful tool for failure diagnosis and lifespan evaluation of fuel cell stack.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:appene:v:325:y:2022:i:c:s0306261922011497
    DOI: 10.1016/j.apenergy.2022.119884
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922011497
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2022.119884?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Baik, Kyung Don & Hong, Bo Ki & Kim, Min Soo, 2013. "Effects of operating parameters on hydrogen crossover rate through Nafion® membranes in polymer electrolyte membrane fuel cells," Renewable Energy, Elsevier, vol. 57(C), pages 234-239.
    2. 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).
    3. Jiang, Bo & Zhu, Jiangong & Wang, Xueyuan & Wei, Xuezhe & Shang, Wenlong & Dai, Haifeng, 2022. "A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries," Applied Energy, Elsevier, vol. 322(C).
    4. 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.
    5. Pei, Pucheng & Wu, Ziyao & Li, Yuehua & Jia, Xiaoning & Chen, Dongfang & Huang, Shangwei, 2018. "Improved methods to measure hydrogen crossover current in proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 215(C), pages 338-347.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu, Xianxian & Cai, Shanshan & Luo, Xiaobing & Tu, Zhengkai, 2024. "Barrel effect in an air-cooled proton exchange membrane fuel cell stack," Energy, Elsevier, vol. 286(C).
    2. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pan, Mingzhang & Pan, Chengjie & Li, Chao & Zhao, Jian, 2021. "A review of membranes in proton exchange membrane fuel cells: Transport phenomena, performance and durability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    2. Zhang, Xuexia & Huang, Lei & Jiang, Yu & Lin, Long & Liao, Hongbo & Liu, Wentao, 2024. "Investigation of nonlinear accelerated degradation mechanism in fuel cell stack under dynamic driving cycles from polarization processes," Applied Energy, Elsevier, vol. 355(C).
    3. Wu, Ziyao & Pei, Pucheng & Xu, Huachi & Jia, Xiaoning & Ren, Peng & Wang, Bozheng, 2019. "Study on the effect of membrane electrode assembly parameters on polymer electrolyte membrane fuel cell performance by galvanostatic charging method," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    4. Chang, Huawei & Cai, Fengyang & Yu, Xianxian & Duan, Chen & Chan, Siew Hwa & Tu, Zhengkai, 2023. "Experimental study on the thermal management of an open-cathode air-cooled proton exchange membrane fuel cell stack with ultra-thin metal bipolar plates," Energy, Elsevier, vol. 263(PA).
    5. Ren, Peng & Pei, Pucheng & Chen, Dongfang & Li, Yuehua & Wu, Ziyao & Zhang, Lu & Li, Zizhao & Wang, Mingkai & Wang, He & Wang, Bozheng & Wang, Xizhong, 2022. "Novel analytic method of membrane electrode assembly parameters for fuel cell consistency evaluation by micro-current excitation," Applied Energy, Elsevier, vol. 306(PB).
    6. 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).
    7. Baik, Kyung Don & Hong, Bo Ki & Han, Kookil & Kim, Min Soo, 2014. "Effects of anisotropic bending stiffness of gas diffusion layers on the performance of polymer electrolyte membrane fuel cells with bipolar plates employing different channel depths," Renewable Energy, Elsevier, vol. 69(C), pages 356-364.
    8. Xu, Liangfei & Hu, Zunyan & Fang, Chuan & Li, Jianqiu & Hong, Po & Jiang, Hongliang & Guo, Di & Ouyang, Minggao, 2021. "Anode state observation of polymer electrolyte membrane fuel cell based on unscented Kalman filter and relative humidity sensor before flooding," Renewable Energy, Elsevier, vol. 168(C), pages 1294-1307.
    9. Dai, Houde & Wang, Jiaxin & Huang, Yiyang & Lai, Yuan & Zhu, Liqi, 2024. "Lightweight state-of-health estimation of lithium-ion batteries based on statistical feature optimization," Renewable Energy, Elsevier, vol. 222(C).
    10. Ma, Rui & Yang, Tao & Breaz, Elena & Li, Zhongliang & Briois, Pascal & Gao, Fei, 2018. "Data-driven proton exchange membrane fuel cell degradation predication through deep learning method," Applied Energy, Elsevier, vol. 231(C), pages 102-115.
    11. Zhang, Tong & Wang, Peiqi & Chen, Huicui & Pei, Pucheng, 2018. "A review of automotive proton exchange membrane fuel cell degradation under start-stop operating condition," Applied Energy, Elsevier, vol. 223(C), pages 249-262.
    12. 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).
    13. Zhaosheng Zhang & Shuo Wang & Ni Lin & Zhenpo Wang & Peng Liu, 2023. "State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles Based on Regional Capacity and LGBM," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    14. Zhu, Yuli & Jiang, Bo & Zhu, Jiangong & Wang, Xueyuan & Wang, Rong & Wei, Xuezhe & Dai, Haifeng, 2023. "Adaptive state of health estimation for lithium-ion batteries using impedance-based timescale information and ensemble learning," Energy, Elsevier, vol. 284(C).
    15. Xinjie Xu & Kai Li & Zhenjie Liao & Jishen Cao & Renkang Wang, 2022. "A Closed-Loop Water Management Methodology for PEM Fuel Cell System Based on Impedance Information Feedback," Energies, MDPI, vol. 15(20), pages 1-16, October.
    16. Li, Yuehua & Pei, Pucheng & Ma, Ze & Ren, Peng & Huang, Hao, 2020. "Analysis of air compression, progress of compressor and control for optimal energy efficiency in proton exchange membrane fuel cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    17. Özçelep, Yasin & Sevgen, Selcuk & Samli, Ruya, 2020. "A study on the hydrogen consumption calculation of proton exchange membrane fuel cells for linearly increasing loads: Artificial Neural Networks vs Multiple Linear Regression," Renewable Energy, Elsevier, vol. 156(C), pages 570-578.
    18. 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).
    19. Wei, Manhui & Wang, Keliang & Pei, Pucheng & Zuo, Yayu & Zhong, Liping & Shang, Nuo & Wang, Hengwei & Chen, Junfeng & Zhang, Pengfei & Chen, Zhuo, 2022. "An enhanced-performance Al-air battery optimizing the alkaline electrolyte with a strong Lewis acid ZnCl2," Applied Energy, Elsevier, vol. 324(C).
    20. Yuan, Hao & Zhou, Shulin & Zhang, Shaozhe & Tang, Wei & Jiang, Bo & Wei, Xuezhe & Dai, Haifeng, 2024. "Unconventional frequency response analysis of PEM fuel cell based on high-order frequency response function and total harmonic distortion," Applied Energy, Elsevier, vol. 357(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:325:y:2022:i:c:s0306261922011497. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.