Regenerative Braking Control Strategy Based on Pavement Recognition Controller for Electric Vehicle

Abstract

Regenerative braking is a key technology for electric vehicles to improve energy efficiency and extend driving range. Considering the impact of road surface adhesion coefficient in the regenerative braking process of vehicles is a meaningful but challenging problem. To effectively utilize the pavement adhesion coefficient and improve the brake energy recovery effect, a pavement observer‐based regenerative braking control strategy for pure electric vehicles is proposed. The control strategy can identify the pavement based on correction factor by analogy idea according to the real‐time state information of vehicles. The optimal braking force distribution coefficient under different pavements is obtained by Fmincon function based on interior point algorithm. The effectiveness of the control strategy is verified by Simulink/CarSim software cosimulation and road test. The results show that the braking time of the proposed regenerative braking control strategy is reduced by 8.2% and the average actual feedback braking torque is increased by 17.6% in dry asphalt conditions compared with the fixed proportional distribution control strategy. Under the premise of effectively ensuring the braking stability and safety of the vehicle, more energy generated during braking can be recovered.