가속도 센서 기반 지능형 타이어를 이용한 타이어 마모 추정

Abstract

In this paper, intelligent tire based tire wear estimation method is proposed. It is important to estimate tire wear because tire wear is closely related to vehicle safety, especially braking distance. The existing method of estimating tire wear is considering mileage and tire wear rate. However, this method has the limitation that the estimation of the tire wear rate should be preceded. Therefore, in this paper, tire wear estimation method using intelligent tires is proposed. Three wear parameters predominant to wear that can be obtained from an intelligent tire acceleration sensor are proposed: x-direction acceleration peak, z-direction acceleration peak, and z-direction jerk peak. Tendency between the corresponding factor and wear was confirmed through an indoor test. The effect of tire load, speed, and pressure on the wear factor was considered and tire wear was estimated using the support vector regression technique. Wear estimation performance was verified by indoor testing.