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A double-stage process-impedance-assisted model to investigate the water behavior at the cathode triple phase boundary for degraded PEMFC

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  • Zhang, Xuexia
  • Liao, Hongbo
  • Huang, Lei
  • Huang, Ruike
  • Lin, Long
  • Jiang, Yu
  • Liu, Wentao

Abstract

Excessive water on the cathode triple phase boundary (TPB) in proton exchange membrane fuel cells (PEMFCs) hampers oxygen reduction reaction and accelerates catalyst layer degradation, impacting performance and lifespan. Thus, investigating water behavior at the TPB is vital for prolonging PEMFC lifespan. However, a degradation-considered approach without visualization equipment remains a challenge. To overcome this challenge, this paper proposes a double-stage model considering PEMFC degradation to estimate the water content on the cathode TPB. In the first stage, the aging parameters of the catalyst layer (CL), gas diffusion layer (GDL), and membrane are considered, except for the membrane thickness. In the second stage, the degradation of the membrane thickness is further incorporated, considering its significant decay. The model is verified using experimental data from a single cell and a degraded stack and applied to analyze the water behavior at the TPB of PEMFC. Results suggest that at 810 h, water content is 8.75 at 1.0 A/cm2, lower than 10.07 at 0.4 A/cm2 due to severe CL degradation. Furthermore, the study reveals that the cathode transfer coefficient, a crucial parameter for cathode kinetics, is influenced by both the electrochemically active surface area (ECSA) and the water content on the cathode TPB.

Suggested Citation

  • Zhang, Xuexia & Liao, Hongbo & Huang, Lei & Huang, Ruike & Lin, Long & Jiang, Yu & Liu, Wentao, 2025. "A double-stage process-impedance-assisted model to investigate the water behavior at the cathode triple phase boundary for degraded PEMFC," Renewable Energy, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:renene:v:241:y:2025:i:c:s0960148124023826
    DOI: 10.1016/j.renene.2024.122314
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    References listed on IDEAS

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    1. Rostami, Leila & Haghshenasfard, Masoud & Sadeghi, Morteza & Zhiani, Mohammad, 2022. "A 3D CFD model of novel flow channel designs based on the serpentine and the parallel design for performance enhancement of PEMFC," Energy, Elsevier, vol. 258(C).
    2. Fan, Ruijia & Chang, Guofeng & Xu, Yiming & Xu, Jiamin, 2023. "Multi-objective optimization of graded catalyst layer to improve performance and current density uniformity of a PEMFC," Energy, Elsevier, vol. 262(PB).
    3. Liu, Hao & Chen, Jian & Hissel, Daniel & Lu, Jianguo & Hou, Ming & Shao, Zhigang, 2020. "Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    4. Liu, Shihua & Li, Xiaoyang & Pang, Linjia & Geng, Tie & Guo, Yonggang & Jiang, Lin & Kang, Kejia & Wang, Xinchao & Liu, Zongyao, 2022. "Study on the effect of purging time on the performance of PEMFC with dead-ended anode under gravity," Renewable Energy, Elsevier, vol. 200(C), pages 1141-1151.
    5. Jouin, Marine & Gouriveau, Rafael & Hissel, Daniel & Péra, Marie-Cécile & Zerhouni, Noureddine, 2016. "Degradations analysis and aging modeling for health assessment and prognostics of PEMFC," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 78-95.
    6. Liu, Yang & Tu, Zhengkai & Chan, Siew Hwa, 2023. "Water management and performance enhancement in a proton exchange membrane fuel cell system using optimized gas recirculation devices," Energy, Elsevier, vol. 279(C).
    7. Chu, Tiankuo & Xie, Meng & Yu, Yue & Wang, Baoyun & Yang, Daijun & Li, Bing & Ming, Pingwen & Zhang, Cunman, 2022. "Experimental study of the influence of dynamic load cycle and operating parameters on the durability of PEMFC," Energy, Elsevier, vol. 239(PD).
    8. 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).
    9. Yu, Zhongshuai & Liu, Fang & Li, Chengzhang, 2023. "Numerical study on effects of hydrogen ejector on PEMFC performances," Energy, Elsevier, vol. 285(C).
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