Estimation of Tire Mileage and Wear Using Measurement Data

Abstract

Tire mileage and wear provide important information for vehicle applications. There are more and more studies discussing intelligent tires, but few focus on the role of tire mileage and wear. The conventional tire pressure monitoring system (TPMS) is one of the intelligent tire applications, but there has been no significant advancement in recent years in this regard. In order to increase the additional functions of intelligent tire applications, we propose a method that estimates the mileage and wear information of tires. The proposed method uses a three-axis sensor and a Hall sensor to implement the function. The proposed method also has a low power design to reduce the power consumption of the Hall sensor. The experimental results show the trend of tire wear status, rendering this method effective. This method also requires more accurate mileage information to support tire wear estimation. This experiment found that the correct rate of the proposed mileage estimation method is 99.4% and provides sufficient and correct mileage information for tire wear methods. If this method is used in autonomous vehicle applications, the autonomous control strategy algorithm has more conditions to plan the control strategy. The strategy system processes more meticulous control that increases the safety of autonomous vehicles.

Effects of Front Total Toe-In Angle on Tire Wear and Emissions for a Light-Duty Vehicle

“…It is found in the literature [8,11] that most researchers have discussed their research outcomes using various models where the experimental results support the case model-based analyses. Apart from various models, a regression analysis is one of the most powerful statistical methods for examining the relationship between two or more variables of interest.…”

“…Te researchers in [6,7] have also shown that tire safety and road vehicle stability, as well as driver and passenger satisfaction, are related to tire quality, tire material, appropriate tire size, and inadequate tire characteristics. According to previous research [3,[8][9][10][11][12], most researchers measured tire wear using various approaches, such as the fnite element method (FEM) and the analytical method, with most case modelbased analyses supporting the experimentally measured data. Te quantity of tire wear is predicted numerically for use in tire design [11].…”

“…According to previous research [3,[8][9][10][11][12], most researchers measured tire wear using various approaches, such as the fnite element method (FEM) and the analytical method, with most case modelbased analyses supporting the experimentally measured data. Te quantity of tire wear is predicted numerically for use in tire design [11]. Te tire dynamic rolling analysis of a 3D-patterned tire model computes the tire frictional energy rates produced in each driving mode.…”