Tire tread wear characteristics: Insights from indoor experiments and analytical modeling

Abstract

This paper investigates tire tread wear characteristics across diverse operating conditions, where indoor tests and analytical modeling are employed. Experiments using Grosch wheels under controlled scenarios provide reliable data through four repetitions, with relative standard deviations mostly below 7.2%. The proposed model utilizes local friction states and a refined wear law to evaluate wear, achieving a root-mean-squared error ratio of 8.32%, which is one-third smaller than conventional wear models and can be further reduced by 5% when incorporating tread temperature. Finally, optimal vertical load and driving velocity conditions that minimize tread wear are analyzed based on the proposed model, providing a foundation for considering tire wear in vehicle driving strategies.