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]
Full text not available from this repository. (Request a copy)Abstract
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 |
| URI: | https://repository.usp.ac.fj/id/eprint/11565 |
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