Research On Battery Prediction Based On Electric Behavior Of Electric Vehicles

Green energy saving is the main theme of building a beautiful China in the new era.In order to reduce the impact of environmental pollution,the new energy technology represented by electric power continues to develop.Electric vehicles have become a new fashion in the development of the automobile industry,and also become an important demand response of users under the smart grid in the future.Explore and research the battery charging management system of electric vehicles.To meet the power demand of electric vehicle users in the future,at the same time,to realize the reasonable regulation and control of power system power load,on the basis of improving the use efficiency of the power battery and maintaining the good performance conditions of the power battery,reduce the electric power consumption expenditure of the electric vehicle users.Based on the battery forecasting research of electric vehicle electricity consumption behavior,the demand response mechanism with short-term electricity price as regulation means under smart grid is fully considered,based on the statistical analysis of the characteristics of electric vehicle users’ electricity consumption,the change range of SOC(state of charge)is obtained.Six kinds of target areas of electric vehicles are roughly divided,and a time scale electric vehicle travel and charging model is established.The number of parking and charging electric vehicles in different areas with time changes is obtained.Based on the characteristics of electric vehicle electricity consumption behavior,in order to effectively guide and control the electric vehicle users’ electricity consumption,aiming at the two important information of short-term electricity price and SOC of vehicle battery,using Neural Network Algorithm to forecasts and estimates,and realize accurate prediction of short-term electricity price.and the accurate prediction of short-term electricity price is realized.At the same time,in order to improve the accuracy of SOC estimation,the neural network is further optimized by Bat Algorithms.In the overall design of battery prediction system based on electric vehicle electricity consumption behavior,STM32 single chip computer is selected as the main control chip of the system in the hardware part,and the overall framework of the system,the main control wiring circuit,the vehicle battery management information collection circuit and the charging post information communication circuit are designed to meet the normal operation of the battery information prediction function.In the design of software system,on the basis of hardware structure,the modular software function design is carried out,and the main program design,data acquisition design of acquisition board and upper computer software design are completed.The mutual coordination between the modules realizes the charging information control of the system.Finally,the function of the system is validated by the experimental platform,and the experimental results of various parameters are obtained.The experimental results show that the system has the advantages of fast,accurate and convenient.