• DocumentCode
    3717774
  • Title

    Estimation of the maximum lateral tire-road friction coefficient using the 6-DoF sensor

  • Author

    Kyoung Seok Han;Eunjae Lee;Seibum Choi

  • Author_Institution
    School of Mechanical Aerospace &
  • fYear
    2015
  • Firstpage
    1734
  • Lastpage
    1738
  • Abstract
    Estimated peak tire-road friction coefficient can be implemented on various vehicle active safety control systems. But, it is not easy to get the actual data from the road cause of cost, equipment installation, maintenance and technical issues. The demands for real-time estimation of peak friction coefficient have been increased due to the above mentioned technical shortcomings. This paper provides the lateral tire-road friction coefficient estimation method using a simplified Dugoff tire model under the pure side slip condition. The rearranged Dugoff model respect to lateral friction coefficient consists of lateral tire force, normal tire force, wheel side slip angle and cornering stiffness. Therefore, aforementioned parameters are also identified based on vehicle model or it is assumed to be constant values in the proposed algorithm. The performance of developed algorithm is verified by Carsim and Matlab/Simulink. The simulation results encourage possible development of the proposed method in this paper.
  • Keywords
    "Friction","MATLAB","Tires","Wheels","Observers","Art","Bicycles"
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2015 15th International Conference on
  • ISSN
    2093-7121
  • Type

    conf

  • DOI
    10.1109/ICCAS.2015.7364644
  • Filename
    7364644