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Experimental study of the influence of dynamic load cycle and operating parameters on the durability of PEMFC

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  • Chu, Tiankuo
  • Xie, Meng
  • Yu, Yue
  • Wang, Baoyun
  • Yang, Daijun
  • Li, Bing
  • Ming, Pingwen
  • Zhang, Cunman

Abstract

Driving conditions and control strategies have closely been associated with proton exchange membrane fuel cell (PEMFC) durability for vehicle applications. This study tests two identical 3-cell PEMFC stacks for both 1000 h under two dynamic load cycles with different load ranges and inconsistent operating parameters. We calculated and analyzed the attenuation of fuel cell performance under different dynamic load cycles. After 1000 h, the mean cell voltage degradation percentage under (Dynamic load cycles) DLC-01and DLC-02 at 1000 mA cm−2 were 5.90% and 5.67%, respectively. Compared to DLC-01, the voltage degradation percentages of DLC-02 under low current densities were significantly lower, particularly in the first 400 h period. The EIS (Electrochemical Impedance Spectroscopy) revealed the evolution of the ohmic, charge transfer, and mass transport resistances. A more severe catalyst layer degradation was depicted by the significant increase of charge transfer resistance in the first 400 h under the DLC-01. An empirical formula was proposed to calculate the corresponding polarization losses quntitatively; this was key in distinguishing the source of different voltage loss. Collectively, this article uncovers the influence of the operating condition and control strategy on fuel cell durability.

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  • 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).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221026050
    DOI: 10.1016/j.energy.2021.122356
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    References listed on IDEAS

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    2. Chu, Tiankuo & Wang, Qinpu & Xie, Meng & Wang, Baoyun & Yang, Daijun & Li, Bing & Ming, Pingwen & Zhang, Cunman, 2022. "Investigation of the reversible performance degradation mechanism of the PEMFC stack during long-term durability test," Energy, Elsevier, vol. 258(C).
    3. Rabeh Abbassi & Salem Saidi & Abdelkader Abbassi & Houssem Jerbi & Mourad Kchaou & Bilal Naji Alhasnawi, 2023. "Accurate Key Parameters Estimation of PEMFCs’ Models Based on Dandelion Optimization Algorithm," Mathematics, MDPI, vol. 11(6), pages 1-21, March.
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    7. Zhou, Yu & Chen, Ben & Chen, Wenshang & Deng, Qihao & Shen, Jun & Tu, Zhengkai, 2022. "A novel opposite sinusoidal wave flow channel for performance enhancement of proton exchange membrane fuel cell," Energy, Elsevier, vol. 261(PB).
    8. Saka, Kenan & Orhan, Mehmet Fatih, 2022. "Analysis of stack operating conditions for a polymer electrolyte membrane fuel cell," Energy, Elsevier, vol. 258(C).
    9. Huang, Ruike & Peng, Yiqiang & Yang, Jibin & Xu, Xiaohui & Deng, Pengyi, 2022. "Correlation analysis and prediction of PEM fuel cell voltage during start-stop operation based on real-world driving data," Energy, Elsevier, vol. 260(C).
    10. Siwen Gu & Jiaan Wang & Xinmin You & Yu Zhuang, 2023. "Investigating the Parameter-Driven Cathode Gas Diffusion of PEMFCs with a Piecewise Linearization Model," Energies, MDPI, vol. 16(9), pages 1-12, April.
    11. Yu, Yang & Yu, Qinghua & Luo, RunSen & Chen, Sheng & Yang, Jiebo & Yan, Fuwu, 2024. "Degradation and polarization curve prediction of proton exchange membrane fuel cells: An interpretable model perspective," Applied Energy, Elsevier, vol. 365(C).
    12. Li, Haolong & Chen, Qihong & Zhang, Liyan & Liu, Li & Xiao, Peng, 2023. "Degradation prediction of proton exchange membrane fuel cell based on the multi-inputs Bi-directional long short-term memory," Applied Energy, Elsevier, vol. 344(C).
    13. Huang, Weifeng & Niu, Tong & Zhang, Caizhi & Fu, Zuhang & Zhang, Yuqi & Zhou, Weijiang & Pan, Zehua & Zhang, Kaiqing, 2023. "Experimental study of the performance degradation of proton exchange membrane fuel cell based on a multi-module stack under selected load profiles by clustering algorithm," Energy, Elsevier, vol. 270(C).
    14. Chen, Dongfang & Pei, Pucheng & Meng, Yining & Ren, Peng & Li, Yuehua & Wang, Mingkai & Wang, Xizhong, 2022. "Novel extraction method of working condition spectrum for the lifetime prediction and energy management strategy evaluation of automotive fuel cells," Energy, Elsevier, vol. 255(C).
    15. Fan, Lixin & Tu, Zhengkai & Chan, Siew Hwa, 2022. "Technological and Engineering design of a megawatt proton exchange membrane fuel cell system," Energy, Elsevier, vol. 257(C).
    16. Rahmani, Ebrahim & Moradi, Tofigh & Ghandehariun, Samane & Naterer, Greg F. & Ranjbar, Amirhossein, 2023. "Enhanced mass transfer and water discharge in a proton exchange membrane fuel cell with a raccoon channel flow field," Energy, Elsevier, vol. 264(C).
    17. Meng, Kai & Chen, Ben & Zhou, Haoran & Shen, Jun & Shen, Zuguo & Tu, Zhengkai, 2022. "Investigation on degradation mechanism of hydrogen–oxygen proton exchange membrane fuel cell under current cyclic loading," Energy, Elsevier, vol. 242(C).

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