Assessment of the Performance of a Fully Electric Vehicle Subsystem in Presence of a Prognostic and Health Monitoring System

Abstract

To achieve the aims of reducing energy consumption and CO2 emissions, Fully Electric Vehicle (FEV) needs to reach significant market shares. However, the advent of FEVs in mass production presents new challenges to automotive manufacturers due to the immaturity of the new building blocks, which can reduce FEV's safety and reliability. In this context, research activity is currently devoted to the development of prognostics and health management systems (PHMSs) which aim at providing information on the failsafe state of the FEV subsystem and at the prediction of its Remaining Useful Life (RUL). The objective of the present paper is to develop a method to assess the reliability and availability of a FEV subsystem which is monitored by a prognostics and health management system. The method proposed for the assessment is based on Monte Carlo Simulation.