Control method for regenerative braking system of electric vehicle

The invention discloses a control method for a regenerative braking system of an electric automobile, and relates to the field of automobile braking control. The control method comprises the steps of braking strength prediction, optimal braking force distribution and motor torque compensation, wherein the braking strength prediction is to predict the braking demand change of a driver by adopting an autoregression model or a Markov probability transfer model according to the vehicle state and the traffic environment in combination with the current braking demand of the driver. According to the current braking demand of the driver and the predicted braking demand change of the driver, a regenerative braking torque and a friction braking torque are distributed in combination with a nonlinear model prediction control method, and factors such as the braking energy recovery rate, the driver pedal feeling and the braking comfort are considered, thereby designing a constrained nonlinear model prediction controller co