Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear

The development of intelligent tire technology has attracted increasing attention from researchers to build different tire models to obtain the state parameters of the tire and to try to correlate these parameters with sensors. To address the challenge of characterizing the evolution of wear in traditional tire mechanics models, this study proposes a physical model that incorporates tire wear. The model is an improvement over the traditional flexible ring model, incorporating brush theory. By establishing the mechanical equilibrium equation of the tread unit, a tire dynamic equation incorporating wear state variables is constructed. The strain-displacement relationship is analyzed to determine the correlation between the strain field and the displacement field. The results show that the strain signals obtained from the physical model and the finite element model maintain a high degree of consistency, validating the reliability and effectiveness of the proposed model. In addition, the correlation between the tire wear and strain signal characteristics was successfully revealed by comparing the physical model and the finite element model. The proposed model provides a theoretical foundation for future research on intelligent tires, as well as a basis for related studies on tire wear, tire lifespan, and tire mechanical properties.

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Publication Details

Journal
Sensors
Published
2025-04-15
DOI
https://doi.org/10.3390/s25082490
Citations
5
Primary Topic
Mechanical Engineering and Vibrations Research
Type
article
Field-Weighted Citation Impact
3.57

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article

Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear

Zhecheng Jing, Yu Zhang, Xin Wang, Guolin Wang et al.
5 citations
Sensors
Mechanical Engineering and Vibrations Research
3.57
article

Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear

Zhecheng Jing, Yu Zhang, Xin Wang, Guolin Wang, Xiangliang Li
article en
5 citations

Abstract

The development of intelligent tire technology has attracted increasing attention from researchers to build different tire models to obtain the state parameters of the tire and to try to correlate these parameters with sensors. To address the challenge of characterizing the evolution of wear in traditional tire mechanics models, this study proposes a physical model that incorporates tire wear. The model is an improvement over the traditional flexible ring model, incorporating brush theory. By establishing the mechanical equilibrium equation of the tread unit, a tire dynamic equation incorporating wear state variables is constructed. The strain-displacement relationship is analyzed to determine the correlation between the strain field and the displacement field. The results show that the strain signals obtained from the physical model and the finite element model maintain a high degree of consistency, validating the reliability and effectiveness of the proposed model. In addition, the correlation between the tire wear and strain signal characteristics was successfully revealed by comparing the physical model and the finite element model. The proposed model provides a theoretical foundation for future research on intelligent tires, as well as a basis for related studies on tire wear, tire lifespan, and tire mechanical properties.

SensorsVol. 25(8)
Jiangsu University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Mechanical Engineering and Vibrations Research
3.57
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Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear — Zhecheng Jing, Yu Zhang, et al. · Sensors (2025) | TGRS Research Map | TGRS