Water management is a key research direction for the performance and lifetime of proton exchange membrane fuel cell (PEMFC) stacks. The paper is aimed to develop an online fault diagnosis method that distinguishes different degrees of flooding and drying within a fuel cell stack by unobservable variables. In our research, the equivalent circuit model is established and electrochemical impedance spectroscopy (EIS) is utilized. The mathematical methods are used to extract the fault features. Fuzzy C-means is used to classify the selected features and the diagnostic rules are automatically extracted from the data. Through verification, the interpretability and computational efficiency of the proposed method are achieved.


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    Titel :

    Proton Exchange Membrane Fuel Cell Fault Rapid Diagnosis Method Based on Electrochemical Impedance Spectroscopy and Fuzzy C-Means Algorithm


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Zheng, Shoujian (Autor:in) / Zhou, Su (Autor:in) / Hu, Zhe (Autor:in)

    Kongress:

    New Energy & Intelligent Connected Vehicle Technology Conference ; 2019



    Erscheinungsdatum :

    2019-11-04




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :