Study on the Anti-Fluctuation Control Algorithm of Electric Vehicle Based on Inverse Model Considering Viscous Friction Coefficient

This paper focuses on the anti-fluctuation control of electric vehicle (EV) with the viscous friction coefficient and load fluctuations. Complicated load fluctuations inevitably leads to poor system performance with large speed fluctuations, slow speed response, poor operation stability and bad driving experience. In order to solve this problem, with consideration of the viscous friction coefficient, the mathematical model of PMSM for EV is established. Furthermore, a novel load observer based on the inverse model of the established model is designed to estimate load fluctuations, and the estimation is used as a feedback compensation for electromagnetic torque to reject load fluctuations. The simulation results demonstrate that load fluctuations can be estimated through the load observer accurately and quickly, and the proposed method has strong anti-fluctuation performance with fast speed response and small speed fluctuations. Thus, the operation stability and driving experience are improved for load fluctuations.