INVERSE MULTIBODY SIMULATIONS FOR MOTORCYCLE TIRE FORCE ANALYSIS

Abstract

This paper examines the use of inverse multibody system simulations, focusing on its application in the automotive industry, particularly in the context of motorcycle dynamics. The study emphasizes the importance of accurately measuring various parameters, including the calibration of sensors and the determination of motorcycle kinematical description and weight distribution to build an accurate vehicle model. The research highlights the significance of the presented method in evaluating tire characteristics through different manoeuvres, such as ride resistances, longitudinal and lateral behaviours, and their combined dynamics. The results presented, demonstrate the correlation between the calculated tire forces and the motorcycle's acceleration during these manoeuvres. However, the study acknowledges challenges, such as potential inaccuracies due to the rider's movements and the limitations associated with sensor error and noise. The paper suggests potential remedies discussed in earlier research, urging further investigation into improving measurement accuracy and reliability in inverse multibody system simulations for motorcycles.This paper examines the use of inverse multibody system simulations, focusing on its application in the automotive industry, particularly in the context of motorcycle dynamics. The study emphasizes the importance of accurately measuring various parameters, including the calibration of sensors and the determination of motorcycle kinematical description and weight distribution to build an accurate vehicle model. The research highlights the significance of the presented method in evaluating tire characteristics through different manoeuvres, such as ride resistances, longitudinal and lateral behaviours, and their combined dynamics. The results presented, demonstrate the correlation between the calculated tire forces and the motorcycle's acceleration during these manoeuvres. However, the study acknowledges challenges, such as potential inaccuracies due to the rider's movements and the limitations associated with sensor error and noise. The paper suggests potential remedies discussed in earlier research, urging further investigation into improving measurement accuracy and reliability in inverse multibody system simulations for motorcycles.