Contents I. Introduction
Based on the provisions and developments towards implementing autonomous driving at its several levels freely in the market, many areas of vehicle’s functionalities are under paced to rapid development. These functionalities are necessary to ensure safety and comfort of passengers and need to adapt the challenging demands implied by the autonomous drive. As Germany with its several OEM is planning to take the next milestone of implementing autonomous driving at level 5 [1], one of the most important aspect in this domain is fault detection and diagnostic. A vital contribution provided by sensor fault detection and isolation (FDI) techniques is already available. However, fault detection and self-diagnostic of the various components of the electric power generation and storage system (EPGS) is not yet thoroughly explored and implemented in the automotive domain. Since faults within EPGS affect the performance and energy supply in the vehicle, it is beneficial to detect these faults and communicate them on an upper level in case of autonomous drive. Usually faults within the alternator cannot be detected and fixed as early as the machine is still operating not until total failure takes place. Therefore, it is necessary to develop a fault detection and diagnostic system which, detects internal faults and communicate them or indicate the need for maintenance. With this self-diagnostic scheme, it is also possible to interpret the deviating performance of the vehicle.
