Multi objective optimization of stability controller for electric vehicle

                                                             CHEN Qi peng, LI Zhi hua, PENG Wei

                            (School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract: Aiming at the problem of stability and braking energy recovery of pure electric vehicle,the braking energy recovery system and the stability of car body were studied.A multi objective optimization of regenerative braking vehicle stability controller with the genetic algorithm was proposed to solve the problem.The ideal centroid of side slip angle and ideal side slip angle were obtained by establishing the two degree of freedom model,and then the actual centroid side slip angle can be estimated by the observer.The restraint conditions of the brake program were analyzed,including ECE braking regulation constraints, braking comfort constraints, motor torque constraints and than body stability and braking energy recovery efficiency were chosen as optimized target, the optimal steering angle were gotten under various road conditions. Then CarSim and Matlab/SIMULINK software were used to build virtual simulation platform. The optimal date was substituted into the simulation, and the results indicate that the optimized braking force not only improves the braking stability of the car, but also improves the braking energy recovery efficiency.

Key words: braking energy recovery; multi objective optimization; stability controller; the genetic algorithm; vehicle body stability control