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Fault sensitive modeling and diagnosis of PEM fuel cell for automotive applications

Mohammadi, Ali and Djerdir, Abdesslem and Bouquain, David and Bouriot, Beatrice and Khaburi, Davood (2013) Fault sensitive modeling and diagnosis of PEM fuel cell for automotive applications. [Conference Proceedings]

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In this paper the PEMFC fault diagnosis is based on neural network modeling approach combined to numerical simulation in which a new developed sensitive model of PEMFC has been especially used. In literature the voltage changing is evaluated according to a variation of the total electrical resistance by assuming the same physical parameters (temperature, pressure...) in whole area of the FC cells. The main contribution of this work is to consider a 2D variation of temperature, pressure and humidity within cathode-membrane-anode zone of the PEMFC by using a multi-loops/nods circuit model. Then a NN model has been developed to classify faults and to recognize them on line during the FC operating.

Item Type: Conference Proceedings
Subjects: Q Science > QC Physics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User: Ali Mohammadi
Date Deposited: 20 May 2019 03:11
Last Modified: 20 May 2019 03:11

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