The accurate prediction of tire and brake thermomechanical behavior is crucial for various applications in the automotive industry, including vehicle dynamics analysis, racing performance optimization, and driver assistance system development. The temperature of the brakes plays a crucial role in determining the performance of rubber by altering its temperature. This change impacts the rim and the air within the tire, leading to variations in temperature and tire pressure, which consequently affect the vehicle’s overall performance. Traditionally, these components have been modeled separately, neglecting the crucial thermal interaction between them, thereby losing a lot of important information from the outside that influences the tire. This paper presents a novel method that overcomes this limitation by coupling the thermomechanical models of the tire and brake, enabling a more comprehensive understanding of their combined behavior. Therefore, the present work could be an interesting starting point to understand how a control system can be influenced by the thermodynamic of the wheel–brake system.

Electronic Stability Control (ESC) allows to prevent safety-critical scenarios and vehicle sideslip angle estimation plays a crucial role in such applications. Time to market and safety concerns in the development and validation of such algorithms are leading the automotive industry towards virtual methods. The recent introduction of driving simulator technologies on vehicle development process allows to develop calibrate and test in advance virtual prototypes of full vehicle and its controls obtaining objective and subjective evaluation during the early stage of the vehicle development. This paper presents the methodology and results related to the development and calibration of a yaw rate based stability control grounded on a mixed-kinematic sideslip estimator. This work has been carried out leveraging tools provided by simulation platforms, scalable configurations of driving simulators and results from road tests.