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Impedance modeling for polymer electrolyte membrane fuel cells by combining the transient two-phase fuel cell and equivalent electric circuit models

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  • Lee, Jiseung
  • Salihi, Hassan
  • Lee, Jaeseung
  • Ju, Hyunchul

Abstract

Proton exchange membrane fuel cell (PEMFC) are actively replacing fossil fuel-based energy systems in commercial applications. Evaluation of cell performance and degradation is critical and usually performed by analyzing the polarization curve and/or Nyquist plot. The polarization test provides an insight into the entire cell, whereas electrochemical impedance spectroscopy (EIS) is used to obtain the Nyquist plot that facilitates the assessment of individual voltage losses occurring in the inner components of a PEMFC. This paper highlights the degradation assessment of PEMFCs using a coupled one-dimensional (1-D) two-phase PEMFC model and Randles-TLM equivalent circuit model. The 1-D model includes a micro-scale catalyst layer (CL) model to more accurately assess electrochemical catalyst activity and mass transport inside the agglomerated porous structure of CL. This model is utilized to estimate key input parameters for various PEMFC operating conditions and degradation scenarios, which are then applied to the equivalent circuit model. The coupled model simulations successfully reproduce both experimental polarization curves and Nyquist plots for various PEMFC conditions. This study enhances the understanding of underlying physical phenomena occurring during long-term PEMFC operations.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pc:s0360544221025421
    DOI: 10.1016/j.energy.2021.122294
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    References listed on IDEAS

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    1. 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.
    2. Meng, Kai & Zhou, Haoran & Chen, Ben & Tu, Zhengkai, 2021. "Dynamic current cycles effect on the degradation characteristic of a H2/O2 proton exchange membrane fuel cell," Energy, Elsevier, vol. 224(C).
    3. Kim, Jaeyeon & Kim, Hyeok & Song, Hyeonjun & Kim, Dasol & Kim, Geon Hwi & Im, Dasom & Jeong, Youngjin & Park, Taehyun, 2021. "Carbon nanotube sheet as a microporous layer for proton exchange membrane fuel cells," Energy, Elsevier, vol. 227(C).
    4. Pan, Rui & Yang, Duo & Wang, Yujie & Chen, Zonghai, 2020. "Health degradation assessment of proton exchange membrane fuel cell based on an analytical equivalent circuit model," Energy, Elsevier, vol. 207(C).
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    Cited by:

    1. 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).
    2. Atyabi, Seyed Ali & Afshari, Ebrahim & Shakarami, Negar, 2023. "Three-dimensional multiphase modeling of the performance of an open-cathode PEM fuel cell with additional cooling channels," Energy, Elsevier, vol. 263(PA).
    3. Jiaping Xie & Hao Yuan & Yufeng Wu & Chao Wang & Xuezhe Wei & Haifeng Dai, 2023. "Impedance Acquisition of Proton Exchange Membrane Fuel Cell Using Deeper Learning Network," Energies, MDPI, vol. 16(14), pages 1-18, July.

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