Vehicle dynamics can be deeply affected by various tyre operating conditions, including thermodynamic and wear effects. Indeed, tyre temperature plays a fundamental role in high performance applications due to the dependencies of the cornering stiffness and potential grip in such conditions. This work is focused on the evaluation of a potentially improved control strategy’s performance when the control model is fed by instantaneously varying tyre parameters, taking into account the continuously evolving external surface temperature and the vehicle boundary conditions. To this end, a simplified tyre thermal model has been integrated into a model predictive control strategy in order to exploit the thermal dynamics’ dependents within a proposed advanced ABS control system. We evaluate its performance in terms of the resulting braking distance. In particular, a non-linear model predictive control (NMPC) based ABS controller with tyre thermal knowledge has been integrated. The chosen topic can possibly lay a foundation for future research into autonomous control where the detailing of decision-making of the controllers will reach the level of multi-physical phenomena concerning the tyre–road interaction.

Non-Linear Model of Predictive Control-Based Slip Control ABS Including Tyre Tread Thermal Dynamics / Arricale, VINCENZO MARIA; Genovese, Andrea; Singh Tomar, Abhishek; Kural, Karel; Sakhnevych, Aleksandr. - In: APPLIED MECHANICS. - ISSN 2673-3161. - 3:3(2022), pp. 855-888. [10.3390/applmech3030050]

Non-Linear Model of Predictive Control-Based Slip Control ABS Including Tyre Tread Thermal Dynamics

Vincenzo Maria Arricale
Investigation
;
Andrea Genovese
Membro del Collaboration Group
;
Aleksandr Sakhnevych
Ultimo
Conceptualization
2022

Abstract

Vehicle dynamics can be deeply affected by various tyre operating conditions, including thermodynamic and wear effects. Indeed, tyre temperature plays a fundamental role in high performance applications due to the dependencies of the cornering stiffness and potential grip in such conditions. This work is focused on the evaluation of a potentially improved control strategy’s performance when the control model is fed by instantaneously varying tyre parameters, taking into account the continuously evolving external surface temperature and the vehicle boundary conditions. To this end, a simplified tyre thermal model has been integrated into a model predictive control strategy in order to exploit the thermal dynamics’ dependents within a proposed advanced ABS control system. We evaluate its performance in terms of the resulting braking distance. In particular, a non-linear model predictive control (NMPC) based ABS controller with tyre thermal knowledge has been integrated. The chosen topic can possibly lay a foundation for future research into autonomous control where the detailing of decision-making of the controllers will reach the level of multi-physical phenomena concerning the tyre–road interaction.
2022
Non-Linear Model of Predictive Control-Based Slip Control ABS Including Tyre Tread Thermal Dynamics / Arricale, VINCENZO MARIA; Genovese, Andrea; Singh Tomar, Abhishek; Kural, Karel; Sakhnevych, Aleksandr. - In: APPLIED MECHANICS. - ISSN 2673-3161. - 3:3(2022), pp. 855-888. [10.3390/applmech3030050]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/897658
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