TireModelle

TireModelle is a term used in automotive engineering to denote mathematical representations of tire behavior, typically employed in vehicle dynamics simulations and tire design. The models aim to predict the forces and moments generated at the tire-road contact based on state variables such as slip ratio, slip angle, vertical load, inflation pressure, and temperature, as well as tire geometry and road conditions. TireModelle are used to analyze handling, braking, acceleration, comfort, and wear, and to develop control systems for stability and autonomous driving.

Modeling approaches fall into several categories. Physics-based models attempt to reproduce physical mechanisms of tire contact and deformation; common examples include semi-empirical versions of the Pacejka Magic Formula, and other formulations like the Dugoff or brush-like contact models. Empirical or semi-empirical models rely on experimental data to fit relationships between inputs and outputs, sometimes combining with physics constraints. Hybrid models blend these methods to balance accuracy and computation.

Key inputs include slip ratio, slip angle, vertical load, inflation pressure, and temperature; outputs are longitudinal and lateral forces and the aligning moment. Calibration uses laboratory tire-testing machines and on-road or track data, often requiring separate parameter sets for different speeds, loads, and road textures.

Applications range from vehicle dynamics simulation in development and testing to tuning of ADAS and autonomous driving systems and tire design optimization. Limitations include parameter variability across temperatures and wear, model complexity, and computational cost.