• DocumentCode
    3525819
  • Title

    Electric rear axle torque vectoring for combined yaw stability and velocity control near the limit of handling

  • Author

    Siampis, Efstathios ; Massaro, Matteo ; Velenis, Efstathios

  • Author_Institution
    Dept. of Automotive Eng., Cranfield Univ., Cranfield, UK
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    1552
  • Lastpage
    1557
  • Abstract
    In this paper we propose a control architecture to stabilize a vehicle during cornering near the limit of lateral acceleration using the rear axle electric torque vectoring configuration of a hybrid vehicle. A vehicle model incorporating nonlinear tyre characteristics and coupling of tyre forces along longitudinal and lateral directions is used to calculate reference steady-state cornering conditions, as well as to design a linear controller with wheel slip ratio inputs. A backstepping controller then provides the necessary motor torques to achieve the wheel slip ratio requested by the linear controller. The controller provides stability of the lateral vehicle dynamics and regulates the longitudinal velocity to ensure feasibility of the reference trajectory.
  • Keywords
    acceleration control; axles; control system synthesis; hybrid electric vehicles; linear systems; mechanical stability; nonlinear control systems; torque control; trajectory control; tyres; vehicle dynamics; velocity control; wheels; backstepping controller; control architecture; electric rear axle torque vectoring; handling limit; hybrid vehicle; lateral acceleration; lateral directions; lateral vehicle dynamics; linear controller design; longitudinal directions; longitudinal velocity; motor torques; nonlinear tyre characteristics; reference steady-state cornering conditions; reference trajectory; tyre forces coupling; vehicle model; vehicle stability; velocity control; wheel slip ratio inputs; yaw stability; Force; Mathematical model; Steady-state; Tires; Torque; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760103
  • Filename
    6760103