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1、JournalofPowerSources134(2004)277292ExtendedKalmanfilteringforbatterymanagementsystemsofLiPB-basedHEVbatterypacksPart3.StateandparameterestimationGregoryL.Plett∗,1DepartmentofElectricalandComputerEngineering,UniversityofColoradoatColoradoSprings,1420Aust
2、inBluffsParkway,P.O.Box7150,ColoradoSprings,CO80933-7150,USAReceived27January2004;accepted26February2004Availableonline28May2004AbstractBatterymanagementsystemsinhybrid-electric-vehiclebatterypacksmustestimatevaluesdescriptiveofthepackspresentoperatingc
3、ondition.Theseinclude:batterystate-of-charge,powerfade,capacityfade,andinstantaneousavailablepower.Theestimationmechanismmustadapttochangingcellcharacteristicsascellsageandthereforeprovideaccurateestimatesoverthelifetimeofthepack.Inaseriesofthreepapers,
4、weproposemethods,basedonextendedKalmanfiltering(EKF),thatareabletoaccomplishthesegoalsforalithiumionpolymerbatterypack.Weexpectthattheywillalsoworkwellonotherbatterychemistries.Thesepaperscovertherequiredmathematicalbackground,cellmodelingandsystemidenti
5、ficationrequirements,andthefinalsolution,togetherwithresults.ThisthirdpaperconcludestheseriesbypresentingfiveadditionalapplicationswhereeitheranEKForresultsfromEKFmaybeusedintypicalBMSalgorithms:initializingstateestimatesafterthevehiclehasbeenidleforsometi
6、me;estimatingstate-of-chargewithdynamicerrorboundsontheestimate;estimatingpackavailabledis/chargepower;trackingchangingpackparameters(includingpowerfadeandcapacityfade)asthepackages,andthereforeprovidingaquantitativeestimateofstate-of-health;anddetermin
7、ingwhichcellsmustbeequalized.Resultsfrompacktestsarepresented.©2004ElsevierB.V.Allrightsreserved.Keywords:Batterymanagementsystem(BMS);Hybrid-electric-vehicle(HEV);ExtendedKalmanfilter(EKF);State-of-charge(SOC);State-of-health(SOH);Lithium-ionpolymerbatt
8、ery(LiPB)1.IntroductionThemethodweusetoestimatethesequantitiesisbasedonKalmanfiltertheory.KalmanfiltersareanintelligentandThispaperisthethirdinaseriesofthreethatdescribead-sometimesoptimalmeansforestimatingthestateofavancedalgorith
