Approach to estimation of vehicle-road longitudinal friction coefficient

According to the road adaptive requirements for the vehicle longitudinal safety assistant system, an estimation method of the road longitudinal friction coefficient is proposed. The method can simultaneously be applied to both the high and the low slip ratio conditions. Based on the simplified magic formula tire model, the road longitudinal friction coefficient is preliminarily estimated by the recursive least squares method. The estimated friction coefficient and the tires model parameters are considered as extended states. The extended Kalman filter algorithm is employed to filter out the noise and adaptively adjust the tire model parameters. Then the final road longitudinal friction coefficient is accurately and robustly estimated. The Carsim simulation results show that the proposed method is better than the conventional algorithm. The road longitudinal friction coefficient can be quickly and accurately estimated under both the high and the low slip ratio conditions. The error is less than 0.1 and the response time is less than 2 s, which meets the requirements of the vehicle longitudinal safety assistant system.