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A 2D Multi-Layer Model to Study the External Magnetic Field Generated by a Polymer Exchange Membrane Fuel Cell

Author

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  • Antony Plait

    (Département ENERGIE, FEMTO-ST, CNRS, Univ. Bourgogne Franche-Comté, F-90000 Belfort, France)

  • Frédéric Dubas

    (Département ENERGIE, FEMTO-ST, CNRS, Univ. Bourgogne Franche-Comté, F-90000 Belfort, France)

Abstract

An original innovative two-dimensional (2D) multi-layer model based on the Maxwell–Fourier method for the diagnosis of a polymer exchange membrane (PEM) fuel cell (FC) stack is presented. It is possible to determine the magnetic field distribution generated around the PEMFC stack from the (non-)homogenous current density distribution inside the PEMFC stack. Analysis of the magnetic field distribution can indicate whether the FC is healthy or faulty. In this way, an explicit, accurate and fast analytical model can allow the health state of an FC to be studied. To evaluate the capacity and the efficiency of the 2D analytical model, the distribution of local quantities (i.e., magnetic vector potential and magnetic field) in a PEMFC stack has been validated with those obtained by the 2D finite-element analysis (FEA). The comparisons demonstrate excellent results both in terms of amplitude and waveform. The validation of this 2D analytical model is essential for the subsequent generation of an inverse model useful for the diagnosis of a PEMFC.

Suggested Citation

  • Antony Plait & Frédéric Dubas, 2022. "A 2D Multi-Layer Model to Study the External Magnetic Field Generated by a Polymer Exchange Membrane Fuel Cell," Mathematics, MDPI, vol. 10(20), pages 1-15, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:20:p:3883-:d:946973
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    References listed on IDEAS

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    1. Martin Geske & Maik Heuer & Günter Heideck & Zbigniew A. Styczynski, 2010. "Current Density Distribution Mapping in PEM Fuel Cells as An Instrument for Operational Measurements," Energies, MDPI, vol. 3(4), pages 1-14, April.
    2. Lorenzo, Charles & Bouquain, David & Hibon, Samuel & Hissel, Daniel, 2021. "Synthesis of degradation mechanisms and of their impacts on degradation rates on proton-exchange membrane fuel cells and lithium-ion nickel–manganese–cobalt batteries in hybrid transport applicati," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    3. Lin, Rui & Zhu, Yike & Ni, Meng & Jiang, Zhenghua & Lou, Diming & Han, Lihang & Zhong, Di, 2019. "Consistency analysis of polymer electrolyte membrane fuel cell stack during cold start," Applied Energy, Elsevier, vol. 241(C), pages 420-432.
    4. Pei, Pucheng & Chen, Huicui, 2014. "Main factors affecting the lifetime of Proton Exchange Membrane fuel cells in vehicle applications: A review," Applied Energy, Elsevier, vol. 125(C), pages 60-75.
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