Title :
Virtual-Sensor-Based Maximum-Likelihood Voting Approach for Fault-Tolerant Control of Electric Vehicle Powertrains
Author :
Tabbache, B. ; Benbouzid, M.E.H. ; Kheloui, A. ; Bourgeot, J.
Author_Institution :
Univ. of Brest, Brest, France
Abstract :
This paper describes a sensor fault-tolerant control (FTC) for electric-vehicle (EV) powertrains. The proposed strategy deals with speed sensor failure detection and isolation within a reconfigurable induction-motor direct torque control (DTC) scheme. To increase the vehicle powertrain reliability regarding speed sensor failures, a maximum-likelihood voting (MLV) algorithm is adopted. It uses two virtual sensors [extended Kalman filter (EKF) and a Luenberger observer (LO)] and a speed sensor. Experiments on an induction-motor drive and simulations on an EV are carried out using a European urban and extraurban driving cycle to show that the proposed sensor FTC approach is effective and provides a simple configuration with high performance in terms of speed and torque responses.
Keywords :
Kalman filters; electric vehicles; fault diagnosis; fault tolerance; induction motor drives; nonlinear filters; observers; power transmission (mechanical); sensors; torque control; DTC scheme; EKF; EV powertrains; European urban; FTC; LO; Luenberger observer; MLV algorithm; electric vehicle powertrains; extended Kalman filter; extraurban driving cycle; induction-motor drive; reconfigurable induction-motor direct torque control scheme; sensor fault-tolerant control; speed response; speed sensor failure detection and isolation; torque response; vehicle powertrain reliability; virtual-sensor-based maximum-likelihood voting approach; Fault tolerance; Fault tolerant systems; Induction motors; Kalman filters; Maximum likelihood detection; Observers; Torque; Electric vehicle (EV); Luenberger observer (LO); extended Kalman filter (EKF); fault-tolerant control (FTC); induction motor; maximum-likelihood voting (MLV); speed sensor failure;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2012.2230200