• DocumentCode
    1641919
  • Title

    Redundancy of angular speed sensors in a double induction machine rear drive for EV

  • Author

    Schubert, Michael ; De Doncker, Rik W.

  • Author_Institution
    ISEA (Inst. for Power Electron. & Electr. Drives), RWTH Aachen Univ., Aachen, Germany
  • fYear
    2015
  • Firstpage
    1144
  • Lastpage
    1151
  • Abstract
    This paper focuses on the redundancy of angular speed sensors in an electric vehicle with two independent single wheel drives at the rear axle. Operation of both drives with a single angular speed sensor, e.g. in case of a sensor fault, is investigated. By applying a speed-sensorless control algorithm, operation of the faulty single wheel drive is still possible. Although speed-sensorless control of induction machines is state of the art and has been demonstrated by a variety of publications, stable operation at zero and very low speed is still not reliably possible. In this paper, a stable approach for speed-sensorless control at low and zero speed is proposed, which uses the speed sensor information of the other single wheel drive and the overall vehicle physics. Based on a detailed mechanical drive train model, the influence of the induction machine control strategy and the different road surfaces on the drive dynamics and the resulting torsional vibrations are investigated.
  • Keywords
    angular velocity control; electric vehicles; induction motor drives; sensorless machine control; EV; angular speed sensor redundancy; double induction machine rear drive; electric vehicle; induction machine control strategy; induction machines; mechanical drive train model; rear axle; sensor fault; single angular speed sensor; single wheel drives; speed-sensorless control algorithm; torsional vibrations; Rotors; Sensors; Shafts; Tires; Torque; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Drive Systems (PEDS), 2015 IEEE 11th International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/PEDS.2015.7203450
  • Filename
    7203450