Research On Control Strategy Of Regenerative Braking System Of Electric Vehicle Based On Driving Cycle

The development of the automobile industry has brought us many energy and environmental problems,In recent years,because of the development of new energy vehicles,this problem has been alleviated,Pure electric vehicle has the advantages of zero pollution and zero emission.But the short driving distance is an important factor to restrict the commercialization of the pure electric vehicles.How to make full use of the limited energy in the battery becomes an important issue,Compared with the traditional vehicle,regenerative braking system of electric vehicle can realize energy recovery in the process of braking,Regenerative braking control strategy has a great influence on the recovery of braking energy,Therefore,the establishment of a reasonable control strategy is conducive to improve the utilization of energy.In this paper,according to the design index of the electric vehicle and the basic parameters of the vehicle,the layout of the electric vehicle,the power battery,the motor and the transmission are selected and matched.The principal component analysis was used to analyze the driving cycle of Hefei city,Based on the principal component parameter,the velocity variation curve is constructed as the representative condition in the actual driving speed,Based on the analysis of the typical vehicle driving parameters in Hefei,the driving conditions of Hefei city were obtained.Regenerative braking control strategy was designed based on fuzzy control,meeting the requirements of the braking regulations,and recovery the braking energy as much as possible.Coordination of the regenerative braking control strategy designing the fuzzy controller which input is speed,battery SOC and braking strength the output is braking force distribution coefficient of the before and after axle and the braking force distribution coefficient of the motor braking force and the mechanical braking force.The model of the control strategy is built in SIMULINK environment.The designed control strategy model is embedded into the ADVISOR vehicle model.Selecting Hefei City,UDDS,NEDC and 1050 driving cycle and setting simulation parameters on the energy recovery simulation,to compare the strategy and regenerative braking control in ADVISOR,to verify the validity of the control strategy of the design.Genetic algorithm is used to optimize the designing of the fuzzy controller,The optimized control strategy is simulated,The vehicle driving mileage,the total energyrecovery and the efficiency of the drive system are compared to verify the effectiveness of the control strategy.