International audienceThis paper is concerned with the improvement of a model of a fuel cell system, in order to make it usable for modelbased diagnosis methods. A fuel cell system is a complex system with many components where faults can occur and cause hard damages not only for the fuel cell stack but also for the system environment. In this paper, we present an adapted library which integrates, directly in the fuel cell system model, all important faults identified and classified. This provides all models with faults required for model-based diagnosis methods
