Communication Dans Un Congrès Année : 2015

Robust diagnosability of PEMFC based on Bond Graph LFT

Résumé

Fuel cell (FC) is one of the best alternatives of fossil energy. Recently, the research community of fuel cell has shown a considerable interest for diagnosis in view to ensure safety, security, and availability when faults occur in the process. The problematic for model based FC diagnosis consists in that the model is complex because of coupling of several kind of energies and the numerical values of parameters are not always known or are uncertain. The present paper deals with use of one tool: the Linear Fractional Transformation bond graph tool not only for uncertain modelling but also for monitorability (ability to detect and isolate faults) analysis and formal generation of robust fault indicators with respect to parameter uncertainties. Application concerns FC system.

Fichier principal
Vignette du fichier
4bb99c01-4fd0-4cd7-97bf-4da4782d0241-author.pdf (334.66 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence
Loading...

Dates et versions

hal-02868310 , version 1 (15-06-2020)

Licence

Identifiants

  • HAL Id : hal-02868310 , version 1

Citer

Belkacem Bouamama, Mathieu Bressel, Mickaël Hilairet, Daniel Hissel. Robust diagnosability of PEMFC based on Bond Graph LFT. International Conference on Electrical and Control Engineering, Jun 2015, San Francisco, United States. ⟨hal-02868310⟩
110 Consultations
179 Téléchargements

Partager

  • More