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Quantitative analysis of internal polarization dynamics for polymer electrolyte membrane fuel cell by distribution of relaxation times of impedance

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  • Yuan, Hao
  • Dai, Haifeng
  • Ming, Pingwen
  • Wang, Xueyuan
  • Wei, Xuezhe

Abstract

Investigating and interpreting each internal polarization dynamics that occurs in the polymer electrolyte membrane fuel cell is significant. Traditional equivalent circuit model fitting by nonlinear least-squares relies on prior model assumptions and initial value selection of components. In this paper, the distribution of relaxation times methodology with powerful separating ability is applied to reveal a more precise analysis of polarization processes. First, the electrochemical impedance spectroscopy under a broad of operating conditions is carried out. Four polarization dynamics related to oxygen transfer, charge transfer of the oxygen reduction, proton transfer inside cathode ionomer, and interface contact process between catalyst layer and membrane (perhaps, including anode oxidation reaction) are effectively extracted. Then, a fourth-order equivalent circuit model established via distribution of relaxation times results is introduced to quantify the loss of each polarization process. Based on this, for the first time, the sensitivity of each polarization loss against operating conditions is analyzed by the multiple stepwise regression analysis, and its application on vehicular fuel cell system control is discussed. Afterward, the distribution of relaxation times is also first to explore the loss and variation trend of each polarization process under flooding, membrane drying, and air starvation fault, where each failure type contains at least eight test sequences. These efforts represent a comprehensive and systematic guideline for fuel cells using distribution of relaxation times, which can also guide the study of degradation mechanisms, optimization design of materials, and even other electrochemical energy sources.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:appene:v:303:y:2021:i:c:s0306261921010072
    DOI: 10.1016/j.apenergy.2021.117640
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    References listed on IDEAS

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    1. Jiaping Xie & Chao Wang & Wei Zhu & Hao Yuan, 2021. "A Multi-Stage Fault Diagnosis Method for Proton Exchange Membrane Fuel Cell Based on Support Vector Machine with Binary Tree," Energies, MDPI, vol. 14(20), pages 1-22, October.
    2. Zhao, Lei & Yuan, Hao & Xie, Jiaping & Jiang, Shangfeng & Wei, Xuezhe & Tang, Wei & Ming, Pingwen & Dai, Haifeng, 2023. "Inconsistency evaluation of vehicle-oriented fuel cell stacks based on electrochemical impedance under dynamic operating conditions," Energy, Elsevier, vol. 265(C).
    3. 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).
    4. Li, Haolong & Wei, Wei & Liu, Fengxia & Xu, Xiaofei & Li, Zhiyi & Liu, Zhijun, 2023. "Identification of internal polarization dynamics for solid oxide fuel cells investigated by electrochemical impedance spectroscopy and distribution of relaxation times," Energy, Elsevier, vol. 267(C).
    5. Yuan, Hao & Dai, Haifeng & Ming, Pingwen & Li, Sida & Wei, Xuezhe, 2022. "A new insight into the effects of agglomerate parameters on internal dynamics of proton exchange membrane fuel cell by an advanced impedance dimension model," Energy, Elsevier, vol. 253(C).
    6. Zhao, Jian & Li, Xianguo & Shum, Chris & McPhee, John, 2023. "Control-oriented computational fuel cell dynamics modeling – Model order reduction vs. computational speed," Energy, Elsevier, vol. 266(C).
    7. 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).
    8. 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.
    9. 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).
    10. 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.

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