• DocumentCode
    197478
  • Title

    Estrategia de estimación de la condición de suelo para el control de tracción en vehículos eléctricos

  • Author

    Aligia, Diego A. ; Magallan, Guillermo A. ; De Angelo, C.H.

  • Author_Institution
    Grupo de Electron. Aplic. (GEA), Univ. Nac. de Rio Cuarto, Cordoba, Argentina
  • fYear
    2014
  • fDate
    11-13 June 2014
  • Firstpage
    417
  • Lastpage
    422
  • Abstract
    Design and implementation of a Luenberger nonlinear observer to estimate the road condition in a 4-wheel electric vehicle is presented in this paper. Knowledge of the road condition allows controlling the force transmitted to the road by traction wheels, thus preventing slippage even in low-traction surfaces. This is done to improve vehicle control and prevent loss of stability that may be risky. The proposed observer is based on a rotational dynamic model of the wheel and a Dugoff force model. The proposal is validated by simulation using a full vehicle model on Simulink/CarSim platform.
  • Keywords
    electric vehicles; force control; observers; road traffic control; road vehicles; stability; traction; vehicle dynamics; wheels; 4-wheel electric vehicle; Dugoff force model; Luenberger nonlinear observer; Simulink-CarSim platform; force control; full vehicle model; low-traction surfaces; road condition; rotational dynamic model; slippage prevention; soil condition estimation strategy; stability loss; traction control; traction wheels; vehicle control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biennial Congress of Argentina (ARGENCON), 2014 IEEE
  • Conference_Location
    Bariloche
  • Print_ISBN
    978-1-4799-4270-1
  • Type

    conf

  • DOI
    10.1109/ARGENCON.2014.6868529
  • Filename
    6868529