Virtual-Sensor-Based Maximum-Likelihood Voting Approach for Fault-Tolerant Control of Electric Vehicle Powertrains

@article{Tabbache2013VirtualSensorBasedMV,
  title={Virtual-Sensor-Based Maximum-Likelihood Voting Approach for Fault-Tolerant Control of Electric Vehicle Powertrains},
  author={Bekhe{\"i}ra Tabbache and Mohamed El Hachemi Benbouzid and Abdelaziz Kheloui and Jean-Matthieu Bourgeot},
  journal={IEEE Transactions on Vehicular Technology},
  year={2013},
  volume={62},
  pages={1075-1083}
}
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… CONTINUE READING
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