Research on Maximum Road Adhesion Coefficient Estimation for Distributed Drive Electric Vehicle

In consideration the drawbacks of some existing road adhesion coefficient estimation methods, a maximum road friction estimation method was proposed in this paper based on the model reconstruction principles, which fully took the advantages that the wheel dynamic parameters of distributed drive electric vehicle can be obtained accurately. The simplified tire model originated from magic formula for the evaluation of the longitudinal adhesion coefficient was analyzed, and the principles of the peak road adhesion coefficient estimation method based on model reconstruction were illustrated. Vehicle dynamics simulation model and a road peak adhesion coefficient estimator were established on the platform of CarSim and MATLAB / Simulink, and dynamic simulation works were done under various driving conditions. The simulation results showed that this method had better robustness, higher estimation accuracy and shorter convergence time, which verified the effectiveness of the proposed algorithm.