智能轮胎磨损敏感区域信号特征及估算方法

doi:10.19562/j.chinasae.qcgc.2025.10.017

Abstract

Abstract:

Tire wear not only affects vehicle driving safety， but also has an important impact on the optimization of tire physical model parameters. In this paper， a tire wear state estimation method that can be applied to strain type intelligent tires is proposed. Firstly， the circumferential strain of the inner liner of the moving tire is obtained by using finite element technology and the impact mechanism of wear on it is analyzed. Four feature indicators closely related to tire wear are proposed. Then， based on the global sensitivity indicator theory， the sensitivity of these wear features to tire using conditions （wear， tire pressure， vehicle speed， and load） and the inner liner sensitive area are explored. The results show that the first derivative of the circumferential strain at the center point of the tire inner liner is the most sensitive to wear features， while the circumferential strain at 17-27 mm on either side of the center point is the most sensitive to wear features， which can be used to guide the sensor installation position. Finally， the Gaussian process regression is used to develop the wear state estimation model， and the average RMSE of the model estimation results considering the tire use conditions is only 0.166 mm. This method not only ensures the estimation accuracy， but also makes full use of the established data resources during the vehicle driving process， ensuring effective monitoring and management of tire wear state.

Key words: intelligent tire, tire wear, global sensitivity analysis, tire strain, Gaussian process regression

Guolin Wang,Xin Wang,Zhecheng Jin,Xiangliang Li,Yu Zhang. Sensitive Area of Tire Wear Signal Characteristics and Wear Estimation Method for Intelligent Tire[J].Automotive Engineering, 2025, 47(10): 2016-2026.

Figures/Tables 17

节点数 $t$	权重 $W t$	节点 $Z t$
1	0.236 93	-0.906 17
2	0.478 62	-0.538 46
3	0.568 89	0
4	0.478 62	0.538 46
5	0.236 93	0.906 17

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项目	接地印痕长度/mm	接地印痕宽度/mm
试验值	122	162
仿真值	125	161
误差	2.5%	0.62%

仿真组号	输入变量
仿真组号	磨损/mm	胎压/kPa	车速/（km·h^-1）	载荷/N
1	3	210	40	3 800
2	0	210	40	3 800
3	1	210	40	3 800
4	5	210	40	3 800
5	6	210	40	3 800
6	3	190	40	3 800
7	3	200	40	3 800
8	3	220	40	3 800
9	3	230	40	3 800
10	3	210	10	3 800
11	3	210	22	3 800
12	3	210	58	3 800
13	3	210	70	3 800
14	3	210	40	1 700
15	3	210	40	2 552
16	3	210	40	5 047
17	3	210	40	5 900

Sensitive Area of Tire Wear Signal Characteristics and Wear Estimation Method for Intelligent Tire

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