A Regenerative Braking Control Strategy for ICVs Considering the Coupling Effect of Driving Conditions and Driving Styles

Regenerative braking is an important part of automotive energy-saving technology. Under different driving conditions and driving styles, the rules of the driver stepping on the accelerator pedal are different, which makes the regenerative braking intensity vary greatly. Different intensity of energy recovery is carried out under different driving conditions and driving styles, which is conducive to improving the efficiency of energy recovery. Therefore, we propose a regenerative braking control strategy (RBCS) based on an accelerator pedal for intelligent connected vehicles (ICVs) considering the coupling effect of driving conditions and driving styles. Firstly, a modified method of driving style characteristic parameters considering the influence of driving conditions is proposed. Secondly, alpha' ss and gamma are defined as accelerator pedal travel, driving condition and driving style correction coefficient respectively. The regenerative braking control strategy based on an accelerator pedal is established, which corrects the regenerative braking intensity according to correction coefficients. Thirdly, the driving data are obtained through the driver-in-the-loop experiment. On this basis, the characteristic parameters of driving style are modified, and the values of alpha' ss and gamma are determined. Finally, the vehicle simulation model and hardware-in-the-loop experiment platform are established to verify the RBCS. The results show that the economy of the vehicle is further improved.