基于AFFRLS-MIAUKF算法的锂离子电池SOC估算

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中图分类号：TN86-34；TM912 文献标识码：A 文章编号：1004-373X（2025）10-0007-08

Abstract：Intheprocessofestimatingthestateofcharge（SOC）oflithium-ionbateries，establishingasuitablemodelisthe firststep，andtheacuracyofparameteridentificationinthemodeliscrucialforestimatingSOC.Inordertoimprovethe accuracyoflithium-ionbatterySOCestimation，analgorithmbasedonadaptiveforgetingfactorrecursiveleastsquares（AFRLS） andmulti-newadaptiveunscentedKalmanflter （MIAUKF）isproposed toestimatebatery SOC.Takingtheternarylithium-ion bateryastheexperimentalobject，thesecond-orderRCequivalentcircuit modelisestablished，andthemodelparametersare identifiedbymeansoftwoidentificationmethods：olineidentificationandadaptiveforgetingfactorrecursiveleastsquares. Undertheconditionof hybrid pulse power characteristic（HPPC），AFFRLS-MIAUKFalgorithmisused toestimate the SOCof lithium-ionbateryndomparewitholineidentificationMAUKFlgoritandUKFalgoritm.Teexperimentalesultssow that AFFRLS-MIAUKF algorithm has higher accuracy and the average error can be kept within 0.5% ：

Keywords：litium-ionbattery;baterystateofchargeestimation；unscentedKalmanfilter;adaptiveforgetingfactor recursive leastsquare;multi-new theory;equivalentcircuit model

0 引言

锂离子电池凭借其能量密度大、质量轻、使用寿命长等优点，在众多动力源中脱颖而出，被广泛运用于汽车行业。（剩余8203字）