The rapid development of autonomous driving technologies places higher demands on the accurate estimation of tire-road friction coefficient (TRFC) in vehicle motion and vehicle dynamics control. A tire model must be built to accurately describe the friction conditions between the tire and road surface. The Unitire model not only holds the advantage of highly accurate representation of tire properties under various complex situations, but it also takes complete account of the relationship between TRFC and road conditions, tire load, and slip speed through dynamic friction characteristics. Therefore, a method based on the Unitire model for TRFC estimation is proposed in this paper. A normalized force calculation method for the Unitire model is proposed subsequently. The simulation experiment results show that the proposed method performs better than the general tire model, which indicates the great potential of the Unitire model for TRFC estimation.


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    Title :

    Estimation of Tire-Road Friction Coefficient Based on the Unitire Model


    Contributors:
    Gong, Chaofan (author) / Zong, Changfu (author) / Lu, Dang (author) / Kaku, Chuyo (author) / Zhang, Dong (author)


    Publication date :

    2022-10-28


    Size :

    4827643 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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