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


    Contributors:

    Published in:

    Vehicle System Dynamics ; 53 , 4 ; 437-448


    Publication date :

    2015


    Size :

    12 Seiten, 14 Bilder, 3 Tabellen, 31 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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

    Lee, Seungyong / Nakano, Kimihiko / Ohori, Masanori | Taylor & Francis Verlag | 2015



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