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1、AppliedEnergy123(2014)263–272ContentslistsavailableatScienceDirectAppliedEnergyjournalhomepage:www.elsevier.com/locate/apenergyAnoveltemperature-compensatedmodelforpowerLi-ionbatterieswithdual-particle-filterstateofchargeestimationXingtaoLiu,ZonghaiChen⇑,Chenb
2、inZhang,JiWuDepartmentofAutomation,UniversityofScienceandTechnologyofChina,Hefei230027,PRChinahighlightsgraphicalabstractAtemperature-compensatedbatteryDataanalysismodelisdevelopedtodeterminetheSOCestimationunderdynamictemperatureVTVT()(,SOC)+d/d(VTTT)effect
3、oftemperature.ococ00322Temperature2RRaTbTcTd()TTTemperature-basedmodelsofititi()0()compensatedrealmpinternalresistanceandOCVarebuiltbatterymodel0xf(,,)xuwtoidentifythemodelparametersatkk11kk1-2Databaseoftheinternalvarioustemperatures.resistance,OCVanddriftcu
4、rrentyg(,,)xuvkkkk-4Adual-particle-filterestimatorisSOCEstimationError(%)50001000015000TimeStep(s)proposedforsimultaneousSOCanddriftcurrentestimationtoeliminateBatteryStateEstimatedtest-0.05thedriftnoise.SOCi0,p,0EstimationSOCRealsystemk-0.1MoreaccurateSOCis
5、obtainedbytheV1:k-0.15proposedapproachthanthatwithoutParameteripk,-0.2regardtothetemperatureanddriftEstimationDriftCurrent(A)-0.25current.50001000015000TimeStep(s)BatteryBMSarticleinfoabstractArticlehistory:Theaccuratestate-of-charge(SOC)estimationofpowerLi-i
6、onbatteriesisoneofthemostimportantReceived9November2013issuesforbatterymanagementsystem(BMS)inelectricvehicles(EVs).TemperaturehasbroughtgreatReceivedinrevisedform16February2014impacttotheaccuracyoftheSOCestimation,whichgreatlydependsonappropriatebatterymodel
7、sAccepted18February2014andestimationalgorithms.Thefactthatthemodelparameters,suchastheinternalresistanceandtheAvailableonline22March2014open-circuitvoltage,aredependentonbatterytemperatureandcurrentdetectionprecisionisgreatlyrelatedtothedriftnoiseincurrentmea
8、surementswillleadtoerrorsinSOCestimation.AimingatthisKeywords:problem,wepresentatemperature-compensatedmodelwithadual-particle-filterestimatorforSOCPowerLi-ionbatteryestimationofpowerLi-io
