Tire Model

Tire modeling focuses on accurately representing the complex interaction between tires and road surfaces, crucial for applications like autonomous driving and predictive maintenance. Current research emphasizes developing advanced models, including neural networks (e.g., LSTMs, neural ODEs), often integrated with Kalman filters or model predictive control, to capture tire forces and dynamics under various conditions, especially at high slip angles. These improved models enhance vehicle control, safety systems, and predictive maintenance strategies by providing more accurate estimations of tire behavior, leading to better performance and reduced risk.