Research On Optimization Of Regenerative Braking Control Strategy For Pure Electric Vehicles

In the past,the development of automobile industry has been around the direction of traditional fuel vehicles.At present,facing the energy crisis and fuel vehicle pollution,new energy vehicles are developing rapidly under the strategic background of new energy vehicles in China.However,in the face of the inherent problem of short cruising range of new energy vehicles,it is of practical significance to study how to increase its cruising range from all angles.Therefore,in this paper,the regenerative braking control strategy of new energy vehicles is studied to increase the cruising range of vehicles without changing the hardware structure of vehicles.The main research contents of this paper are as follows:The mechanical structure and working principle of regenerative braking system are expounded,and the distribution and constraint of braking force of front and rear wheels during braking are studied.Based on the actual parameters of the vehicle,the simulation model of pure electric vehicle is built on the simulation platform to prepare for the simulation verification of regenerative braking control strategy.The driver’s braking intention identification controller is introduced to identify the driver’s intention,and based on the braking intention,a braking force distribution control strategy for front and rear wheels compatible with vehicle braking safety and energy recovery efficiency is designed.On the basis of this distribution strategy,a fuzzy controller for regenerative braking is designed and constructed,and the optimal regenerative braking force is calculated.The simulation model based on regenerative braking fuzzy control strategy is run in Simulink simulation environment,and the results are compared with the ideal braking force distribution control strategy to verify the effectiveness of its energy recovery efficiency.Finally,on the basis of the above research,the regenerative braking control strategy designed in this paper is optimized by introducing single-objective particle swarm optimization to further improve the efficiency of the control strategy and improve the efficiency of energy recovery as much as possible on the basis of ensuring braking stability.The research results show that this strategy can further improve the recovery efficiency of braking force energy.