Evaluation method and prediction model of rolling resistance based on deformation characteristics of tire carcass contour

To explore evaluation method for tire rolling resistance, predict rolling resistance and reduce testing costs, this paper proposes an evaluation method and a prediction model of rolling resistance based on deformation characteristics of tire carcass contour. Firstly, a finite element model (FEM) of a 205/55R16 passenger car radial (PCR) tire was established along with a corresponding free-rolling simulation model, to numerically calculate the tire’s rolling resistance. The accuracy of the model and rolling resistance calculation method was experimentally validated through the tire stiffness test, tire static ground contact distribution characteristics test and rolling resistance test which follows ISO 28580 standard. Subsequently, 20 PCR tires with varying structural designs were analyzed to assess their rolling resistance through numerical simulation. During carcass contour deformation, the deformation characteristics of the carcass cord stress were analyzed. Key parameters, including the nodal S11 stress and coordinates of each cord under both inflation and loading conditions, were extracted. From the perspectives of mechanical and geometric properties, the carcass contour deformation parameters were calculated for different design schemes. Then, the correlation between the carcass contour deformation parameters and rolling resistance was investigated using Pearson correlation analysis. The most influential parameters were selected as evaluation metrics, and a rolling resistance prediction model was constructed using Principal Component Analysis (PCA). The results indicate that the derived regression equation demonstrates strong fitting performance, and enables accurate prediction of rolling resistance across different tire structural designs. It should be noted that although 20 tire structures of the 205/55R16 type were selected as fitting variables in this study, this approach provides a theoretical foundation and reference value for evaluating and optimizing tire rolling resistance for other tires. In the future, this methodology can be extended to other tire specifications and larger sample sizes, thereby providing more robust guidance for tire structural design.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2025-11-29
DOI
https://doi.org/10.1177/09544070251393535
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation method and prediction model of rolling resistance based on deformation characteristics of tire carcass contour

Jian Yang, Haichao Zhou, Wenxuan He, Haoran Li et al.
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Vehicle Dynamics and Control Systems
article

Evaluation method and prediction model of rolling resistance based on deformation characteristics of tire carcass contour

Jian Yang, Haichao Zhou, Wenxuan He, Haoran Li, Lingxin Zhang
article en

Abstract

To explore evaluation method for tire rolling resistance, predict rolling resistance and reduce testing costs, this paper proposes an evaluation method and a prediction model of rolling resistance based on deformation characteristics of tire carcass contour. Firstly, a finite element model (FEM) of a 205/55R16 passenger car radial (PCR) tire was established along with a corresponding free-rolling simulation model, to numerically calculate the tire’s rolling resistance. The accuracy of the model and rolling resistance calculation method was experimentally validated through the tire stiffness test, tire static ground contact distribution characteristics test and rolling resistance test which follows ISO 28580 standard. Subsequently, 20 PCR tires with varying structural designs were analyzed to assess their rolling resistance through numerical simulation. During carcass contour deformation, the deformation characteristics of the carcass cord stress were analyzed. Key parameters, including the nodal S11 stress and coordinates of each cord under both inflation and loading conditions, were extracted. From the perspectives of mechanical and geometric properties, the carcass contour deformation parameters were calculated for different design schemes. Then, the correlation between the carcass contour deformation parameters and rolling resistance was investigated using Pearson correlation analysis. The most influential parameters were selected as evaluation metrics, and a rolling resistance prediction model was constructed using Principal Component Analysis (PCA). The results indicate that the derived regression equation demonstrates strong fitting performance, and enables accurate prediction of rolling resistance across different tire structural designs. It should be noted that although 20 tire structures of the 205/55R16 type were selected as fitting variables in this study, this approach provides a theoretical foundation and reference value for evaluating and optimizing tire rolling resistance for other tires. In the future, this methodology can be extended to other tire specifications and larger sample sizes, thereby providing more robust guidance for tire structural design.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Jiangsu University (CN), Jiaozuo University (CN)
Openalex Percentile: Top 60%
Vehicle Dynamics and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.