It is often necessary to obtain complete friction maps for use with physical tyre models or simply for comparing friction envelopes on different surfaces. Exhaustive and controlled friction testing in the relevant environment is usually too costly, time-consuming and even prohibited (e.g. in motorsport due to regulations), so tyre forces must be inferred from full vehicle testing.

    Given measured tyre forces from a tyre test rig or vehicle based wheel force transducers, we present a method, based on an inverse brush model combined with Monte Carlo uncertainty propagation, to extract the friction at a given operating point. The method allows quantification of the uncertainty in friction estimation and it is shown that this uncertainty is higher at low slips, where structural parameters of the tyre dominate force generation. We also explore how brush model structural parameters impact the model and we demonstrate that uncertainty in the normal pressure distribution does not significantly affect the friction estimations. A simple friction mapping method is introduced utilising an empirical frictional heating term which is used to accurately predict tyre forces in new conditions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Rubber Friction Law Identification from Tyre Force Measurements Using a Stochastic Brush Model


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Huang, Wei (Herausgeber:in) / Ahmadian, Mehdi (Herausgeber:in) / Sanders, Tom (Autor:in) / Knowles, James (Autor:in) / Mavros, Georgios (Autor:in)

    Kongress:

    The IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks ; 2023 ; Ottawa, ON, Canada August 21, 2023 - August 25, 2023



    Erscheinungsdatum :

    13.10.2024


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Enhancing brush tyre model accuracy through friction measurements

    O’Neill, Alexander / Prins, Jan / Watts, John F. et al. | Taylor & Francis Verlag | 2022

    Freier Zugriff


    MODIFIED RUBBER FOR TYRE RUBBER COMPOSITION FOR TYRE USING SAID MODIFIED RUBBER AND TYRE

    IWATA TOMOKI / SAKAI HARUKA / UERA KAZUYOSHI | Europäisches Patentamt | 2017

    Freier Zugriff

    MODIFIED RUBBER FOR TYRE, RUBBER COMPOSITION FOR TYRE USING SAID MODIFIED RUBBER AND TYRE

    IWATA TOMOKI / SAKAI HARUKA / UERA KAZUYOSHI | Europäisches Patentamt | 2015

    Freier Zugriff

    MODIFIED RUBBER FOR TYRE, RUBBER COMPOSITION FOR TYRE USING SAID MODIFIED RUBBER AND TYRE

    IWATA TOMOKI / SAKAI HARUKA / UERA KAZUYOSHI | Europäisches Patentamt | 2019

    Freier Zugriff