Effectiveness of computer-based tyre modelling tools based on an embedded telemetry controller

Abstract

This study aimed to analyse key aspects of wheeled vehicle dynamics and to assess the effectiveness of modern computer modelling techniques in the vehicle design process. The research focused on the main parameters influencing tyre performance, including forces, moments, slip angle, vertical load, and their interrelations. The use of modelling was justified as a means of ensuring the required levels of grip, handling, and ride comfort during vehicle operation. Existing tyre models were classified into empirical, semi-empirical, and physical types, with a comparative analysis presented to highlight the advantages and limitations of each. Particular attention was given to the Magic Formula tyre model, which is widely used to characterise tyre behaviour. The study outlined the application of this formula in developing approximate mathematical models through curve-fitting methods, enabling accurate representation of tyre performance under various operating conditions. The research also examined current trends in tyre model development involving machine learning techniques, which facilitate parameter optimisation and improve modelling accuracy. It was demonstrated that the integrated use of machine learning and computer modelling methods can enhance tyre product development and support the creation of innovative solutions in the field of wheeled vehicles. The practical value of the research lies in the potential application of the proposed approaches to improve the dynamic characteristics of vehicles and other wheeled machinery, thereby reducing the need for costly field testing.