Cornering stiffness is one of the important vehicle parameters for steering control of a vehicle. Accurate vehicle parameters are essential for a high performance of vehicle control because vehicle control is significantly affected by variations in vehicle parameters. In this study, a novel identification method is proposed using a dual Kalman filter algorithm and a GPS (global positioning system) measurement system to estimate the cornering stiffness for on-board identification. Performance of the identification method is examined with experiments, and the estimation results show that this identification method is effective on both a flat road and a banked curve road.


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    Title :

    On-board identification of tyre cornering stiffness using dual Kalman filter and GPS



    Published in:

    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.20 / 50.32 / 50.32 Dynamik, Schwingungslehre / 55.20 Straßenfahrzeugtechnik
    Local classification TIB:    535/7020



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