基于模糊Kalman算法的电动汽车驱动控制策略的研究

Research on drive control strategy of electric vehicle based on fuzzy Kalman algorithm

介绍基于Kalman滤波和模糊控制算法的驱动防滑控制策略。利用Kalman滤波算法估算车辆的滑转率，再通过模糊控制算法识别路面附着系数，以换转率为控制变量，选用PID控制算法控制电动汽车的电机。在MATLAB／Simulink平台上验证，验证了此联合算法能很好地防止车辆的驱动防滑，提高车辆的安全稳定性。

This paper introduces the drive slip control strategy based on Kalman filter and fuzzy control algorithm. Kalman filter algorithm is used to estimate the slip rate of vehicles, and then the fuzzy control algorithm is used to identify the coefficient of road adhesion. The switching rate is taken as the control variable, and the PID control algorithm is used to control the motor of the electric vehicle. On the MATLAB/Simulink platform, it is proved that the joint algorithm can prevent the vehicle from skidding and improve the vehicle safety and stability.