Starting from the earliest phases of design of the vehicle and its control systems, the understanding of tyres is of fundamental importance to govern the overall vehicle dynamics. A properly characterised tyre–road interaction model is essential to achieve a reliable vehicle dynamics model on which more design variations can be studied directly in simulation environment optimising both cost and time. The possibility to count on computationally efficient and reliable formulations represents nowadays a great advantage, and the multiphysical Pacejka's Magic Formula (MF-evo) tyre model presented is one of the best trade-off solutions to meet the strict real-time requirements and to reproduce multiphysical variations of the tyre dynamic behaviour towards temperature, pressure and wear effects. A specific methodology has been developed to characterise and to identify the MF-evo parameters with a high grade of accuracy and reliability directly from experimental data. The proposed technique is based on a pre-processing procedure to remove non-physical outliers and to cluster the data, which allows to optimise the multidimensional parameterisation process. To the purpose of validation of the parametrisation routine, data from a motorsport case, exceptionally difficult to reproduce in simulation due particularly significant variations of the tyre dynamics during a single test, have been employed demonstrating the MF-evo model potential and robustness.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multiphysical MF-based tyre modelling and parametrisation for vehicle setup and control strategies optimisation


    Contributors:

    Published in:

    Vehicle System Dynamics ; 60 , 10 ; 3462-3483


    Publication date :

    2022-10-03


    Size :

    22 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown






    Receding Horizon Predictive Control Based upon the Youla-Kucera Parametrisation

    Fikar, M. / Engell, S. | British Library Online Contents | 1997


    Embedded Multiphysical Track Diagnostic Systems for Intelligent Transport

    Bolshakova, Alexandra V. / Boronachin, Alexandr M. / Larionov, Daniil Yu. et al. | IEEE | 2019


    Fundamentals on Vehicle and Tyre Modelling

    Kissai, Moad | Springer Verlag | 2021