Intelligent tires, as an emerging technology, have great potential for tire-road contact information identification and new vehicle active safety system design. In this article, a tire-road friction coefficient estimation method is proposed based on intelligent tires application with three-axis accelerometer. At first, a finite element tire model with an accelerometer is established using ABAQUS platform. Accelerometer body frame transformation is considered during the tire rotation. Subsequently, the contact patch length is determined according to the peak of the longitudinal acceleration profile. Meanwhile, tire lateral deflection is calculated from the tire lateral acceleration. By curve fitting the lateral deflection model with least square method, tire lateral force and the aligning moment are derived and then the friction coefficient is estimated via brush model. Finally, the effectiveness and accuracy of the proposed estimation method are verified through computer simulation conducted under different road surface conditions.


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    Title :

    Tire-Road Friction Coefficient Estimation Method Design for Intelligent Tires Equipped with Three-Axis Accelerometer


    Additional title:

    Sae Int. J. Veh. Dyn., Stab., and Nvh


    Contributors:
    Lenzo, Basilio (author) / Zhang, Xudong (author) / Zou, Yuan (author) / Zou, Zhenyu (author)


    Publication date :

    2021-05-05


    Size :

    10 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English







    TIRE-ROAD FRICTION COEFFICIENT ESTIMATION WITH VEHICLE STEERING

    Hong, S. / Hedrick, J. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2013


    Tire-road friction coefficient estimation with vehicle steering

    Hong, Sanghyun / Hedrick, J. Karl | IEEE | 2013