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Research On Battery Power Estimation Method For Pure Electric Vehicle

Posted on:2017-04-25Degree:MasterType:Thesis
Country:ChinaCandidate:W XiaoFull Text:PDF
GTID:2272330503979791Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
Due to continuous research and production of electric vehicles,battery power which is one of the most important components of electric vehicles at home and abroad has gradually become the focus of research. And improve the performance of various aspects of the battery and reduce the production cost of the battery is the primary,so it is necessary for the battery state of charge monitoring,effective energy management.Among the battery management,battery state of charge is essential for a state quantity,it indicates remaining battery power,accurate and reliable estimation of the state of charge(SOC) battery management system is the most basic and most important task.The main contents are as follows:First briefly clarify the background and significance of the subject,introduces the research status at home and abroad lithium battery,then introduces several commonly used battery model.Then briefly describes the internal working principle of lithium batteries,then create an equivalent circuit model according to the battery electrochemistry cell,then derived based on the equivalent circuit model of the battery state-space model.Determine various parameters of the equation of state by the two sets of experiments,these two sets of experiments were open circuit voltage and the battery SOC relations calibration experiments,battery internal resistance and RC circuit parameter identification experiment.By introducing the Kalman filter,proposed using adaptive Kalman filter method to estimate the lithium-ion battery SOC.Adaptive kalman can estimate the mean and variance of unknown noise,by the various modules in simulink to build its estimation model,then set the module parameter values and simulate.The simulation results show that the adaptive kalman filter significantly reduces the error in estimating.Since temperature affects the estimation results,so on the introduction of the thermal model,analyze their works and the temperature model in ADVISOR.Then analyze the resistance model of ADVISOR,by setting the parameters in the model some of the modules,then estimate SOC and simulate.Finally,to create a vehicle model by AMESim software related modules,and use interface to realize co-simulation.Respectively,through the ECE+NEDC conditions,UDDSconditions to simulate actual driving test.
Keywords/Search Tags:SOC, Lithium battery, Adaptive kalman filter, ADVISOR, AMESim
PDF Full Text Request
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