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 trad...

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Main Authors: Guolin Wang, Xiangliang Li, Zhecheng Jing, Xin Wang, Yu Zhang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/25/8/2490
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author Guolin Wang
Xiangliang Li
Zhecheng Jing
Xin Wang
Yu Zhang
author_facet Guolin Wang
Xiangliang Li
Zhecheng Jing
Xin Wang
Yu Zhang
author_sort Guolin Wang
collection DOAJ
description 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.
format Article
id doaj-art-7555f4a5f02742a0bcbd1ee7a8b2bb1e
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issn 1424-8220
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publishDate 2025-04-01
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record_format Article
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spelling doaj-art-7555f4a5f02742a0bcbd1ee7a8b2bb1e2025-08-20T02:25:02ZengMDPI AGSensors1424-82202025-04-01258249010.3390/s25082490Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the WearGuolin Wang0Xiangliang Li1Zhecheng Jing2Xin Wang3Yu Zhang4School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaThe 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.https://www.mdpi.com/1424-8220/25/8/2490intelligent tiretire physical modeltire wearflexible ring modelstrain signal
spellingShingle Guolin Wang
Xiangliang Li
Zhecheng Jing
Xin Wang
Yu Zhang
Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear
Sensors
intelligent tire
tire physical model
tire wear
flexible ring model
strain signal
title Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear
title_full Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear
title_fullStr Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear
title_full_unstemmed Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear
title_short Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear
title_sort improvement in and validation of the physical model of an intelligent tire considering the wear
topic intelligent tire
tire physical model
tire wear
flexible ring model
strain signal
url https://www.mdpi.com/1424-8220/25/8/2490
work_keys_str_mv AT guolinwang improvementinandvalidationofthephysicalmodelofanintelligenttireconsideringthewear
AT xiangliangli improvementinandvalidationofthephysicalmodelofanintelligenttireconsideringthewear
AT zhechengjing improvementinandvalidationofthephysicalmodelofanintelligenttireconsideringthewear
AT xinwang improvementinandvalidationofthephysicalmodelofanintelligenttireconsideringthewear
AT yuzhang improvementinandvalidationofthephysicalmodelofanintelligenttireconsideringthewear