Vehicle Longitudinal Speed Estimation Based on Kalman Filter

In order to accurately calculate the slip rate of driving wheel in ASR, it is necessary to obtain a higher precision reference speed. Based on the Kalman filter algorithm, this paper uses the non drive wheel speed signal and vehicle longitudinal acceleration signal to establish the system model, and estimates the vehicle speed of the two drives in real time, and the real vehicle road test and off-line simulation are carried out under different road conditions to verify the estimation effect of the algorithm. The results show that the algorithm has high estimation accuracy, strong robustness and is easy to implement on ECU.