Hierarchical Diagnosis and Prognosis Strategy for Electrical Power Generation and Storage System

This paper presents a hierarchical approach to fault detection and isolation (FDI) of an automotive electrical power generation and storage (EPGS) system. In particular, this work focuses on a fault diagnosis strategy for the alternator and belt of the EPGS system. The proposed approach is able to detect and isolate the faults of the following components: the voltage regulator, the diodes and the belt. Preliminary evaluation results using an EPGS system test bench have shown the effectiveness of the algorithm.