A Predictive Thermo-Mechanical Framework for Tire Temperature and Performance Modeling
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20265107
- Paper/Info type
- Proceedings (Spring)
No.25-26
- Pages
- 1-8(Total 8 p)
- Date of publication
- May 2026
- Publisher
- JSAE
- Language
- English
- Event
- 2026 JSAE Annual Congress (Spring)
Detailed Information
| Author(J) | 1) Francesco Calabrese, 2) Manfred Bäcker, 3) Axel Gallrein, 4) Ruhwedel Tobias, 5) Christoph Burkhart |
|---|---|
| Author(E) | 1) Francesco Calabrese, 2) Manfred Bäcker, 3) Axel Gallrein, 4) Ruhwedel Tobias, 5) Christoph Burkhart |
| Affiliation(J) | 1) Fraunhofer Institute for Industrial Mathematics, 2) Virtual Tire Technologies, 3) Fraunhofer Institute for Industrial Mathematics, 4) Fraunhofer Institute for Industrial Mathematics, 5) Virtual Tire Technologies |
| Affiliation(E) | 1) Fraunhofer Institute for Industrial Mathematics, 2) Virtual Tire Technologies, 3) Fraunhofer Institute for Industrial Mathematics, 4) Fraunhofer Institute for Industrial Mathematics, 5) Virtual Tire Technologies |
| Abstract(E) | The growing demand for sustainable products drives the industry to improve CAE methods for predicting wear and rolling resistance, both strongly temperature-dependent. The authors work enhances temperature modeling and parameterization in the thermo-mechanical CDTire model. Its finite-volume formulation separates geometry from material properties, improving physical accuracy and therefore reducing parameter identification effort due to enhanced prediction capability. A measurement-based methodology is presented and validated on multiple passenger-car tires, showing improved accuracy of standard characteristics with minimal extra effort. Temperature effects on cornering/braking stiffness, friction, and pressure are examined in details. Future work targets improved rolling-resistance and wear prediction. |
