Research On Battery Management System For EV Based On STM32F103RBT6

Pressure to power reduction all of the world and the environment crisis becomesintensify,for the sake of sustainable development strategy, it feels more attetion tothe Electric Vehicle(EV).EV battery is a bottleneck problem during the EVdevelopment.The Battery Manegement System(BMS) can improve battery life,and itcan monitor the situation of battery.Meanwhile,BMS can prolong battery life,and itcan make battery work in the high efficiency situation,improving distance percharge.It also can provide safty for EV battery.So，the research on the BMS hasimportant significanceThis dissertation adopts Lithium iron phosphate battery(LIPB) asobject,analyzing its working principle and working performance.Aiming at State OfCharge(SOC)estimation,this dissertation puts forward a modified Twin SupportVector Regression(NSVR) based on existing abundant estimating methods.Andmaking estimation models in the MatLab.By means of contrasting with thetraditional Support Vector Regression,this algorithm is proved superiority.Then,onthe base of ARM STM32F103RBT6,this paper designs hardware and software of theEV BMS. This dissertation designs the voltage acquisiton circuit,currentacquision,temperature monitor circuit,communication circuit and control circuit,A/Dchange circuit.Sofeware environment is Keil.It gives software flow chart.This dissertation introduces the experiment table briefly.By means ofexperiment,it accomplishes the BMS.The result proves: BMS can accomplishvoltage,current,temperature acquisition,LIPB SOC prediction is well.