The tire-road peak adhesion coefficient (TRPAC) is defined as the ratio of the peak adhesion to the vertical load of the tire, which can characterize the ability of a tire to adhere to the road. Reliable TRPAC estimation can not only benefit the vehicle active safety system, but also serve the intelligent transportation system to improve the safety of traffic participants. Considering the problems of low estimation accuracy and poor real-time performance caused by low-quality sensor information in existing TRPAC estimation methods, a TRPAC fusion estimation framework based on the assessment of multisource information quality is proposed in this article. Based on the observability theory of nonlinear systems, a quantitative indicator of dynamic information quality denoted as the excitation level is established. The region of effective excitation is defined as the criterion for starting and stopping the proposed dynamics-based fusion estimator for the longitudinal-lateral coupling condition. Considering occupant comfort and vehicle stability, an active enhancement method based on hierarchical model predictive control is designed to actively improve the excitation level. Based on the receding horizon optimization theory, a dynamics-image-based fusion estimator is proposed to make full use of visual and dynamic information. An adaptive fusion estimation strategy is then proposed to apply the proper estimation working mode according to the multisource information quality. The results of the simulation and vehicle test show that the proposed framework can still perform competitively when the quality of multisource information is poor and achieve reliable TRPAC estimation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Tire-Road Peak Adhesion Coefficient Estimation Based on Multisource Information Assessment


    Contributors:
    Leng, Bo (author) / Tian, Cheng (author) / Hou, Xinchen (author) / Xiong, Lu (author) / Zhao, Wenrui (author) / Yu, Zhuoping (author)

    Published in:

    Publication date :

    2023-07-01


    Size :

    6728070 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Joint estimation method for road adhesion coefficient and tire force

    JIN LIQIANG / WU WEIDONG / LI YINGZHUANG et al. | European Patent Office | 2024

    Free access

    A new preprocessment method for road peak adhesion coefficient fusion estimation

    Han, Yinfeng / Lu, Yongjie / Wang, Hongwei et al. | SAGE Publications | 2024


    Tire road adhesion coefficient multi-model fusion estimation method considering quality mismatch

    YIN GUODONG / WANG YAN / YAN YONGJUN et al. | European Patent Office | 2022

    Free access

    Tire road adhesion coefficient estimation method and device, electronic equipment and vehicle

    WANG JIAWEI / NI MIN | European Patent Office | 2023

    Free access