A review on model-based diagnosis methodologies for PEMFCs

Raffaele Petrone (1) , Zhixue Zheng (2) , Daniel Hissel (2) , Marie-Cécile Péra (2) , Cesare Pianese (1) , Marco Sorrentino (1) , Mohamed Béchérif (2) , Nadia Yousfi Steiner (3)

1 - Department of Industrial Engineering [Salerno]
2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)
3 EIFER - European Institute For Energy Research

The proton exchange membrane fuel cell systems (PEMFC)s are interesting devices for energy conversion. Recent researches are aimed at developing new monitoring and diagnosis techniques; a good management of these systems would allow optimizing the performance and reducing their degradation. The objective of a suitable diagnostic tool is to identify and isolate the different faults that may occur in the system being monitored in real time. Therefore, the main features of computational methods are accuracy, reliability and high computational speed. In order to perform the diagnosis, it is necessary to evaluate different approaches. In this work different model-based approaches are investigated as well as their validation and applications. An overview of different methodologies available in the literature is proposed, which is oriented to help in developing suitable diagnostic tool for \{PEMFC\} monitoring and fault detection and isolation (FDI).

Mots clés: PEMFC; Fault detection isolation; Model-based; On-line diagnosis

Domaines: Energie électrique; Optimisation et contrôle [math.OC]

Raffaele Petrone, Zhixue Zheng, Daniel Hissel, Marie-Cécile Péra, Cesare Pianese, et al.. A review on model-based diagnosis methodologies for PEMFCs. International Journal of Hydrogen Energy, 2013, 38 (17), pp.7077-7091. ⟨10.1016/j.ijhydene.2013.03.106⟩. ⟨hal-00906701⟩