Dynamic semiempirical PEMFC model for prognostics and fault diagnosis


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Khan, Saad Saleem, Shareef, Hussain, Kandidayeni, Mohsen, Boulon, Loïc, Amine, Abbou et Abdennebi, El Hasnaoui (2021). Dynamic semiempirical PEMFC model for prognostics and fault diagnosis. IEEE Access, 9 . p. 10217-10227. ISSN 2169-3536 DOI 10.1109/ACCESS.2021.3049528

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This article introduces a dynamic semiempirical model that predicts the degradation of a proton exchange membrane fuel cell (PEMFC) by introducing time-based terms in the model. The concentration voltage drop is calculated using a new statistical equation based on the load current and working time, whereas the ohmic and activation voltage drops are updated using time-based equations borrowed from the existing literature. Furthermore, the developed model calculates the membrane water content in the PEMFC, which indicates the membrane hydration state and indirectly diagnoses the flooding and drying faults. Moreover, the model parameters are optimized using a recently developed butterfly optimization algorithm. The model is simple and has a short runtime; therefore, it is suitable for monitoring. Voltage degradation under various loading currents was observed for long working hours. The obtained results indicate a significant degradation in PEMFC performance. Therefore, the proposed model is also useful for prognostics and fault diagnosis.

Type de document: Article
Mots-clés libres: mathematical model degradation load modeling temperature dependence monitoring atmospheric modeling fault diagnosis fault diagnostics optimization PEMFC prognostics statistical analysis
Date de dépôt: 22 févr. 2021 13:43
Dernière modification: 22 févr. 2021 13:43
Version du document déposé: Version officielle de l'éditeur
URI: https://depot-e.uqtr.ca/id/eprint/9452

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