• DocumentCode
    3083188
  • Title

    Maximum Tire Road Friction Estimation Based on Modified Dugoff Tire Model

  • Author

    Long Chen ; Mingyuan Bian ; Yugong Luo ; Keqiang Li

  • Author_Institution
    State Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-23 July 2013
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    Estimation of the tire-road friction using the signal of on-board sensors is very important for the vehicle dynamic control systems. This paper presented a tire -- Croad friction coefficient estimation algorithm based on a modified Dugoff model. The proposed algorithm first determined the tire slip ratio and the instantaneous longitudinal friction coefficient using vehicle and wheel dynamics parameters. Then, the friction coefficient was estimated through the modified Dugoff model with subsection method and converse solution method. The effectiveness and performance of the algorithm were demonstrated through vehicle dynamics simulations on different road surface conditions.
  • Keywords
    road vehicles; sensors; signal processing; stick-slip; time-varying systems; tyres; vehicle dynamics; instantaneous longitudinal friction coefficient; maximum tire-road friction coefficient estimation algorithm; modified Dugoff tire model; on-board sensor signal; road surface conditions; tire slip ratio; vehicle dynamic control systems; vehicle dynamics parameters; vehicle dynamics simulations; wheel dynamics parameters; Estimation; Friction; Mathematical model; Roads; Tires; Vehicles; Wheels; Converse Solution Method; Dugoff Tire Model; Friction coefficient; Subsection Method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanical and Automation Engineering (MAEE), 2013 International Conference on
  • Conference_Location
    Jiujang
  • Type

    conf

  • DOI
    10.1109/MAEE.2013.24
  • Filename
    6602137