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

Format:

Book

Conference/Event

Author/Creator:

Kim, Changsu, author.

Contributor:

Ko, Younghee

Kwon, Seungmin

Ryu, Yonghyun

Sung, Dae-Un

Conference Name:

WCX SAE World Congress Experience (2025-04-08 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2025-01-8760

Access Restriction:

Restricted for use by site license