The Study On Optimization Of Energy Management Strategy For Hybrid Energy Storage System In Pure Electric Vehicles

With the development of society,environmentally friendly energy applications are becoming more and more widespread,and new energy vehicles,led by electric vehicles,have become the trend of the automotive industry.To address the problems of unstable mileage and short cycle life of single-powered electric vehicles,the use of hybrid energy storage system can effectively improve the performance of the power system without changing the materials.On the basis of hybrid energy storage system,research on optimizing the control strategy of power system can make the system work more efficiently.Therefore,this paper is based on the hybrid energy storage system for pure electric vehicles to optimize the energy management strategy.This paper first discusses the structure of pure electric vehicles,with component selection and data matching for a combined batteryultracapacitor energy system.Based on the semi-active energy system structure,a new energy feedback control structure is constructed.The low and high frequency power components are obtained by filtering the power demand of the bus as the ideal power output for the battery and ultracapacitors respectively.Since the actual power output cannot be maintained in the ideal state,the actual power output of the ultracapacitor is limited by the proportion-integration-differentiation(PID)control so that the actual output power approaches the ideal state,where the unrealized differential power is compensated by the battery.Due to the uncertainty of the PID control parameters in the energy feedback control structure,a multi-objective optimization function targeting the minimum energy consumption of the energy system and the low steady-state operating current of the battery is proposed,and the particle swarm optimization(PSO)algorithm is introduced to optimize the control parameters of the PID controller to obtain the energy feedback optimized control strategy.The simulation is carried out in MATLAB/Advisor platform,and the secondary development of the simulation model is carried out to make the modeling parameters meet the requirements of the article,and to establish the hybrid energy storage system structure equipped with energy feedback optimization control strategy.The simulation results verify the rationality of the proposed energy feedback control strategy,which can control the complementary operation of battery and ultracapacitor.Then,the effectiveness of the optimized PSO algorithm is then verified,and the results show that the optimized control strategy has a higher state of charge(SOC)and lower total energy consumption of the power system at the end of the simulation.The simulation link proves that the proposed energy feedback optimization control strategy can optimize the operating state of the hybrid energy storage system and help the ultracapacitor to participate in the high-frequency component output more frequently,so that the operating state of the battery is closer to the ideal state,and also reduce the overall energy consumption of the system to achieve the purpose of battery protection and energy saving.