A Study of Tire Handling and Ride Performance Map According to Tire Tread Wear State

2025-01-8760

04/01/2025

Event
WCX SAE World Congress Experience
Authors Abstract
Content
The electric vehicle market, vehicle ECU computing power, and connected electronic vehicle control systems continue to grow in the automotive industry. The results of these advanced and expanded vehicle technologies will provide customers with increased cost savings, safety, and ride quality benefits. One of these beneficial technologies is the tire wearing prediction. The improved prediction of tire wear will advise a customer the best time to change tires. It is expected that this prediction algorithms will be essential part for both the optimization of the chassis control systems and ADAS systems to respond to changed tire performance that varies with a tire’s wear condition. This trend is growing, with many automakers interested in developing advanced technologies to improve product quality and safety. This study is aimed at analyzing the handling and ride comfort characteristics of the tire according to the depth of tire pattern wear change. The handing and ride comfort characteristics were measured on several tire test rigs for analysis and the vehicle dynamics simulation was conducted to help understand how vehicle performance varies with tire wear conditions.
Meta TagsDetails
DOI
https://doi.org/10.4271/2025-01-8760
Pages
10
Citation
Kim, C., Kwon, S., Sung, D., Ryu, Y. et al., "A Study of Tire Handling and Ride Performance Map According to Tire Tread Wear State," SAE Technical Paper 2025-01-8760, 2025, https://doi.org/10.4271/2025-01-8760.
Additional Details
Publisher
Published
Apr 01
Product Code
2025-01-8760
Content Type
Technical Paper
Language
English