LithiumBatteryRemainingUsefulLifePredictionBasedonIUPF

doi:10.3969/j.issn.1006-2475.2018.07.016

Abstract

Abstract: Withthevigorousdevelopmentofnewenergyvehicles,thehealthassessmentoflithiumbatteriesforpowersupplydeviceshasgraduallybeentakenintoconsideration.Researchgraduallyshiftedfromthecurrentremainingchargeoflithiumbatteriesconcernedtothecalculationoftheirremainingusefullife.InordertoestimatetheremainingservicelifeofLi-ionbatteryefficientlyandaccurately,amethodofpredictingremaininglifetimeoflithiumbatterybasedonImprovedUnscentedParticleFilter(IUPF)isproposed.Basedonthestatisticequationoflithium-ionbatteryandtheequationofobservation,thetwoparameterswhichreflecttheinternalresistanceofthebatteryandthetwoparameterswhichreflectthedegradationrateofthebatteryperformanceareestimatedtoobtainthelithiumbatterycapacityformulaincludingthefailuretime.Thelifecycledataoflithium-ionbatteriesprovidedbyNASA’sAmespredictiondatabaseareverifiedbysimulation.Theperformanceoftheevaluationresultsisevaluatedbythreekindsofevaluationindexes.Theresultsshowthattheproposedmethodcanbeappliedtolithium-ionbatteryremaininglifeestimation,alsoimprovestheaccuracyoftheUPFmethodtopredict.

Key words: lithiumbattery, remainingusefullife, IUPF, newenergy

CLC Number:

TP391.5

LILi-min,WENZong-zhou,SONGYu-qin. LithiumBatteryRemainingUsefulLifePredictionBasedonIUPF[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2018.07.016.

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