Modeling And Simulation Research On Regenerative Braking Control Strategy Of C Class Pure Electric Car

The rapid development of the traditional automobile industry have brought about a series of energy shortages and environmental pollution at the same time to promote economic development and social progress.Therefore,governments and automobile companies are vigorously developing environmentally friendly and pollution-free Pure electric car.However,the shortcomings of the short driving mileage of pure electric vehicles have seriously restricted its development,among them,the C-class pure electric cars,as the premium cars,are more demanding for the driving mileage.The regenerative braking technology uses the driving motor to recover the braking energy.It can effectively improve the energy utilization rate of the vehicle and increase the driving range of the vehicle.This paper takes a C-class pure electric vehicle jointly developed by Hunan University and a certain enterprise as the research object,and studies its regenerative braking control strategy.The main research work are as follows:According to the basic vehicle parameters and related design specifications,the performance indexs of the car are set.The parameter matching design of the main components of the power system is carried out.The simulation models of the main components of the power system are built in the Matlab/Simulink environment for subsequent simulation studies.Based on the analysis of the current common brake force distribution strategy,a control strategy for the front and rear braking force distribution of the vehicle based on the braking strength is proposed.At the same time,more regenerative braking is adopted under the base of ensuring the braking performance and the regenerative braking fuzzy controller is designed based on the fuzzy control theory,the main consideration is the influence of driving speed of the vehicle,braking strength of the vehicle and state of charge of the power battery pack on the proportion of regenerative braking force.And the simulation model of the vehicle is built under the Simulink environment,combined with the secondary development of Advisor software,the simulation results are verified under typical cycle conditions.The results show that the power system parameter matching can meet the vehicle performance indexs;the braking control strategy designed in this paper performs much better than the braking control strategy built-in ADVISOR software in terms of braking energy recyclingefficiency.Finally,in order to further improve the effectiveness of the regenerative braking control strategy,the genetic algorithm is used to optimize the fuzzy controller to obtain the optimal membership function parameters.The simulation results show that in the typical cycle conditions,the optimized fuzzy controller has better control effect and can further improve the energy recovery efficiency of regenerative braking.