Diagnosis of a hydrogen/air fuel cell by a statistical model-based method - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Diagnosis of a hydrogen/air fuel cell by a statistical model-based method

Résumé

This paper proposes a diagnosis method of a hydrogen/air fuel cell using a quasi-static model coupled to a parameter identification method that are both described. An original statistical approach is proposed in an effort to obtain a certain guaranty on the validity of the identified parameters and raise in this way the associated “confidence index”. The analysis of the degradation of a fuel cell is afterwards achieved by comparing parameters identified before and after the degradation. A diagnosis is then presented based on the analysis of the different losses occurring within the fuel cell in an effort to monitor and control on-board systems.
Fichier non déposé

Dates et versions

hal-03877351 , version 1 (29-11-2022)

Identifiants

Citer

Augustin Zeller, Olivier Rallières, Jérémi Régnier, Christophe Turpin. Diagnosis of a hydrogen/air fuel cell by a statistical model-based method. VPPc 2010: Vehicle Power Propulsion conference, Lille, France, 2010, Lille, France. ⟨10.1109/VPPC.2010.5729171⟩. ⟨hal-03877351⟩
4 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More