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Conference Papers Year : 2013

Diagnosis of a commercial PEM fuel cell stack via incomplete spectra and fuzzy clustering

Abstract

To realize the commercialization of proton exchange membrane (PEM) fuel cells, durability and reliability remain big challenges. This paper aims to develop a fault detection, identification and analysis methodology based on a commercial fuel cell system. Effect of air stoichiometry is studied using electrochemical impedance spectroscopy (EIS). Relevant faults are: oxygen starvation, water flooding and drying. Based on the EIS measurements, a non-model based methodology is proposed consisting of four parts: feature extraction based on the spectra, feature selection, fuzzy clustering and fault analysis. Validity of the proposed diagnostic methodology is verified experimentally.
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hal-02496076 , version 1 (13-04-2020)

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Z. Zheng, R. Petrone, M.C. Pera, D. Hissel, M. Becherif, et al.. Diagnosis of a commercial PEM fuel cell stack via incomplete spectra and fuzzy clustering. IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, Nov 2013, Vienne, Austria. pp.1595-1600, ⟨10.1109/IECON.2013.6699371⟩. ⟨hal-02496076⟩
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