Multi-Objective Optimal Control of Electric Vehicle Compound Braking Based on NSGA-Ⅱ
In order to improve the braking effect of ev,a multi-objective optimal control strategy for ev compound braking based on NSGA-Ⅱ was designed.According to the multi-objective optimization method,the compound braking torque distribution was realized and the Pareto solution set was established.The optimal output parameters were determined by the modified ideal solu-tion method,and the torque distribution results consistent with the braking requirements were obtained.The fuzzy PID controller is designed and the torque distribution simulation analysis of control strategy is carried out.The results show that the braking sta-bility is improved and the result is closer to the Ⅰ curve.In the decision-making analysis,the interference caused by the braking process of the vehicle is considered to obtain the optimal parameters,so as to complete the process of torque allocation.The control strategy in this paper can recover a higher proportion of braking energy,promote the significant improvement of braking recovery performance,obtain better braking energy recovery effect under lower braking intensity,have better comprehensive performance compared with the independent fuzzy control strategy,and complete the distribution of expected braking force.This research has a good theoretical support value for improving the compound braking efficiency of electric vehicles,and can also be extended to other vehicle fields.
Electric VehicleCompound BrakeMulti-Objective OptimizationFuzzy ControlDecision Mak-ingJoint Simulation
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