Predictive reliability control of the safety-critical traction electric drive with structural redundancy

Abstract

The paper presents a methodology to create the predictive control system of reliability and fault tolerance of one of the main components of the electric vehicle traction drive — an electric traction motor. For the vehicle traction drives, which are safety-critical systems, the problem of achieving high reliability and fault tolerance of propulsion system became today a crucial task. The solution of this task is based on the remaining useful life evaluation technique and on the multi-state system reliability Markov model for the systems with degradation states, which can be practically applied to any type of electric vehicles. Based on the analysis of existing techniques to predict the reliability indices of the traction electric drives during its operation, a system for the continuous evaluating and controlling the reliability and fault tolerance of the traction electric drive by the automatically connection the redundant components has been developed.