Integrated Adhesion Coefficient Estimation of 3D Road Surfaces Based on Dimensionless Data-Driven Tire Model

The tire/road peak friction coefficient (TRPFC) is the core parameter of vehicle stability control, and its estimation accuracy significantly affects control effect active safety. To estimate adhesion accurately, a new method for comprehensive three-dimensional pavement based on dimensionless data-driven tire model proposed. Firstly, in order to accurately describe contact state between road surface during driving, stress distribution multi-point are introduced into vertical dynamic driven by data established normalization method. Secondly, real-time assessment lateral longitudinal coefficients realized with unscented Kalman filter (UKF). Finally, according coupling relationship coefficient, fuzzy reasoning strategy fusing designed. results tests prove that proposed this paper can quickly accurately.