Robust Diagnosis of a Fuel Cell Pumping System by Bond Graph Modeling Approach

Abstract

This article presents the obtained results by studying the efficiency of a developed diagnosis system dedicated for a PEM Fuel Cell pumping system. The studied system is composed of PEM fuel cell powering an electrical pumping system via an electronic adaptation stage which consists of a cascade-connected DC-DC boost converter and a voltage inverter. The diagnosis system is developed based on Bond Graph approach which allows to model the studied system graphically in order to facilitate to investigate its working performances by simulating the developed model under the 20-Sim software. Obtained results show an efficient fault detection for different simulation scenarios.