基于AFFRLS-MIAUKF算法的鋰離子電池SOC估算

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中圖分類號(hào)：TN86-34；TM912 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：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

鋰離子電池憑借其能量密度大、質(zhì)量輕、使用壽命長(zhǎng)等優(yōu)點(diǎn)，在眾多動(dòng)力源中脫穎而出，被廣泛運(yùn)用于汽車行業(yè)。（剩余8203字）