Measuring and modeling vehicle response delays is a fundamental prerequisite for dynamic simulations, both in real-time driving platforms and in offline systems. With a human driver the delays have a heavy influence on the driving feeling and for the achievement of the optimal lap times. If artificial intelligence is driving, lap times can be improved by using algorithms able to calculate vehicle states, whose reliable reproduction is deeply linked to the delay’s evaluation.

    In this paper, a methodology to estimate pneumatic relaxation lengths and the parameters that determine them is proposed. To do this, a double track model is used, in which the unknown parameters are varied until the congruence between the model output and the experimental data is reached.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Identification of Tire Transient Parameters from Vehicle Onboard Sensors Data


    Additional title:

    Mechan. Machine Science



    Conference:

    The International Conference of IFToMM ITALY ; 2020 ; Naples, Italy September 09, 2020 - September 11, 2020



    Publication date :

    2020-08-20


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Identification of Tire Transient Parameters from Vehicle Onboard Sensors Data

    Mosconi, Lorenzo / Farroni, Flavio / Sakhnevych, Aleksandr et al. | TIBKAT | 2021


    Identification of Traffic States From Onboard Vehicle Sensors

    Koopmann, Jonathan / Najm, Wassim G. | SAE Technical Papers | 2003


    Identification of traffic states from onboard vehicle sensors

    Koopmann, J. / Najm, W.G. | Tema Archive | 2003


    Identification of Traffic States From Onboard Vehicle Sensors

    Koopmann, J. / Najm, W. G. / Society of Automotive Engineers | British Library Conference Proceedings | 2003


    Identification of traffic states from onboard vehicle sensors

    Koopmann,J. / Najm,W.G. / Volpe National Transp.Systems Center,US | Automotive engineering | 2003