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Impedance-based diagnosis of polymer electrolyte membrane fuel cell failures associated with a low frequency ripple current

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  • Kim, Jonghoon
  • Lee, Inhae
  • Tak, Yongsug
  • Cho, B.H.

Abstract

This work deals with a diagnosis of cathode flooding and membrane drying associated with a low frequency ripple current of a polymer electrolyte membrane fuel cell (PEMFC) based on impedance measurement on 12 single cells using electrochemical impedance spectroscopy (EIS). Average values of the identified model parameters obtained from direct measurement of the impedance curves of 12 single cells obtained after cycling for hours at variable frequencies, it has been found that impedance magnitude of a fuel cell injecting a low frequency ripple current (100 Hz) increased when compared with those injecting high frequency ripple currents (1 kHz and 10 kHz). Based on these investigations, additional impedance measurements are directly conducted to gain insight into cathode flooding and membrane drying concerning a low frequency ripple current. Regardless of operating frequency of ripple current, two PEMFC failures lead to an increase in the impedance magnitude in comparison with that of a fresh cell. Specifically, it is shown that a low frequency ripple current more accelerates the PEMFC degradation associated with two PEMFC failures.

Suggested Citation

  • Kim, Jonghoon & Lee, Inhae & Tak, Yongsug & Cho, B.H., 2013. "Impedance-based diagnosis of polymer electrolyte membrane fuel cell failures associated with a low frequency ripple current," Renewable Energy, Elsevier, vol. 51(C), pages 302-309.
    • Handle: RePEc:eee:renene:v:51:y:2013:i:c:p:302-309
    DOI: 10.1016/j.renene.2012.09.053
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    References listed on IDEAS

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    1. Wu, Sheng-Ju & Shiah, Sheau-Wen & Yu, Wei-Lung, 2009. "Parametric analysis of proton exchange membrane fuel cell performance by using the Taguchi method and a neural network," Renewable Energy, Elsevier, vol. 34(1), pages 135-144.
    2. Kim, Jong-Soo & Choe, Gyu-Yeong & Kang, Hyun-Soo & Lee, Byoung-Kuk, 2011. "Robust low frequency current ripple elimination algorithm for grid-connected fuel cell systems with power balancing technique," Renewable Energy, Elsevier, vol. 36(5), pages 1392-1400.
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    Citations

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    Cited by:

    1. Soo-Bin Han & Hwanyeong Oh & Won-Yong Lee & Jinyeon Won & Suyong Chae & Jongbok Baek, 2021. "On-Line EIS Measurement for High-Power Fuel Cell Systems Using Simulink Real-Time," Energies, MDPI, vol. 14(19), pages 1-14, September.
    2. Kim, Wook & Duong, Van-Huan & Nguyen, Thanh-Tuan & Choi, Woojin, 2013. "Analysis of the effects of inverter ripple current on a photovoltaic power system by using an AC impedance model of the solar cell," Renewable Energy, Elsevier, vol. 59(C), pages 150-157.
    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. Li, Yuehua & Pei, Pucheng & Wu, Ziyao & Xu, Huachi & Chen, Dongfang & Huang, Shangwei, 2017. "Novel approach to determine cathode two-phase-flow pressure drop of proton exchange membrane fuel cell and its application on water management," Applied Energy, Elsevier, vol. 190(C), pages 713-724.
    5. Wang, Hanqing & Gaillard, Arnaud & Hissel, Daniel, 2019. "A review of DC/DC converter-based electrochemical impedance spectroscopy for fuel cell electric vehicles," Renewable Energy, Elsevier, vol. 141(C), pages 124-138.

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