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Evaluation the Resistance Growth of Aged Vehicular Proton Exchange Membrane Fuel Cell Stack by Distribution of Relaxation Times

Author

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  • Dong Zhu

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Yanbo Yang

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Tiancai Ma

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

Abstract

The aged stack results in resistance growth and power decline. At present, most of the analyses of resistance growth are qualitative or identified by complex mechanism models. For more effective identification, the distribution of relaxation times (DRT) method is applied to the aging analysis of the stack. The individual polarization process of the stack corresponding to each DRT peak is determined by appropriate experimental conditions and the impedance of the individual polarization process is characterized by the peak area. The three DRT peaks from low frequency to high frequency are identified as the mass transport, the charge transfer of oxygen reduction reactions (ORRs), and the proton transport in the cathode catalyst layer (CCL) and anode side. The stack’s voltage recession rate is 15% at the rated current density of 800 mA cm −2 after running for 2000 h in the driving cycle. Mass transport is the main reason accounting for 66.1% of the resistance growth. The charge transfer resistance growth cannot be ignored, accounting for 30.23%. The resistance growth obtained by the DRT can quickly and accurately identify the main reason for stack decline and therefore promises to become an important diagnostic tool in relation to aging.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5677-:d:810921
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    References listed on IDEAS

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    1. Pei, Pucheng & Chen, Huicui, 2014. "Main factors affecting the lifetime of Proton Exchange Membrane fuel cells in vehicle applications: A review," Applied Energy, Elsevier, vol. 125(C), pages 60-75.
    2. Ozden, Adnan & Shahgaldi, Samaneh & Li, Xianguo & Hamdullahpur, Feridun, 2019. "The impact of ionomer type on the morphological and microstructural degradations of proton exchange membrane fuel cell electrodes under freeze-thaw cycles," Applied Energy, Elsevier, vol. 238(C), pages 1048-1059.
    3. 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).
    4. Dongxu Guo & Geng Yang & Guangjin Zhao & Mengchao Yi & Xuning Feng & Xuebing Han & Languang Lu & Minggao Ouyang, 2020. "Determination of the Differential Capacity of Lithium-Ion Batteries by the Deconvolution of Electrochemical Impedance Spectra," Energies, MDPI, vol. 13(4), pages 1-14, February.
    5. Kim, Bosung & Cha, Dowon & Kim, Yongchan, 2015. "The effects of air stoichiometry and air excess ratio on the transient response of a PEMFC under load change conditions," Applied Energy, Elsevier, vol. 138(C), pages 143-149.
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    Cited by:

    1. Zhiming Zhang & Jun Zhang & Liang Shi & Tong Zhang, 2022. "A Study of Contact Pressure with Thermo-Mechanical Coupled Action for a Full-Dimensional PEMFC Stack," Sustainability, MDPI, vol. 14(14), pages 1-16, July.

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