Modeling And Simulation Research On Control Strategy Of Braking Energy Recovery System For Electric Vehicle

The development of automobile industry have brought about energy consumption,emission and pollution at the same time to promote economic development.Lots of countries are vigorously developing new energy vehicles.Braking energy recovery technology is a very important way to reduce vehicle energy consumption and increase vehicle rage.Taking a pure electric vehicle test prototype as the research background,the control strategy of the braking energy recovery system is studied.Main research work are as follows:Firstly,according to the design requirements of the pure electric vehicle,the parameters matching of the power system is carried out on the basis of the performance target of the whole vehicle.The simulation model of the vehicle is built under the CRUISE environment.The dynamic and economic simulation analysis is carried out,which lays the foundation for the design,development and follow-up research of the braking energy recovery system.Secondly,designed the braking energy recovery control strategy based on driver's braking intention and the running state of the vehicle.The design of the braking intention fuzzy controller based on the brake pedal and brake pedal change rate.Fuzzy controller is based on the speed and the battery SOC value.In the MATLAB environment,built the control strategy modle.Considering the safety of the vehicle brake,put forward the braking force distribution strategy based on the I curve and ECE curve.In the SIMULINK platform,built the raking force distribution strategy modle.Thirdly,by using the method of co-simulation of SIMULINK and CRUISE,analyzes the braking performance and the economic performance of the vehicle simulation test.The simulation results verify the feasibility and validity of the control strategy for braking energy recovery.Finally,the fuzzy controller is optimized and simulated by using simulated annealing and particle swarm algorithm,The results show that the membership function of the optimized fuzzy controller enables the control strategy model to increase the mileage and enhance the efficiency of braking energy recovery.The design and optimization of the braking energy recovery control strategy in this paper provides a reference for the further improvement and application of the braking energy recovery system for pure electric vehicles.