基于云端數(shù)據(jù)充電初期片段的電池極化參數(shù)辨識(shí)

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Identification of battery polarization parameters based on initial charging segment of cloud data

WANG Limei1，CUI Yanwei1，SUN Jingjing1，ZHAO Xiuliang*2，LIU Liang1， PAN Chaofeng

（1.AutomotiveEngineeringResearch Institute，Jiangsu University，Zhenjiangl2ol3，China； 2.SchoolofAutomotiveandTrafcEngineering，Jiangsu University，Zhenjiang2l2ol3，China）

Abstract：A benchmark polarization parameter identification method was proposed based on cloud data toenhance the accuracy and thespeed of online identificationof battery polarization parameters.The characteristics of battery polarization parameters were investigated by conducting charge-discharge pulse experiments.A method analogous wasemployed by utilizing the initialcharging segment from cloud data throughthe Hybrid Pulse Power Characterization （HPPC）teststoobtain the charging polarization parameters. The Variable Forgeting Factor Recursive Least Squares （VFFRLS）algorithm wasapplied with the identified charging polarization parametersas constraints to compute the discharging polarization parameters.The results indicated that thismethodyieldedbattery timeconstantsranging from 34～53s ，and the polarization parameters remained invariant with respect to the current rate under corresponding low current rates in the cloudenvironment.Thecalculated chargingpolarizationresistanceandpolarizationcapacitancealignedwel with laboratory results.The convergence speed of the proposed constrained online identification method was improvedbyatleast 6% compared with the unconstrained identification method.

Keywords：batterycharginganddischarging；polarizationparameter；clouddata；of-lineidentification；hybrid pulse power characterization （HPPC） analogy；variable forgetting factor recursive least square （VFFRLS）algorithm

電池作為電動(dòng)汽車(chē)（electricvehicles，EVs）動(dòng)力電池系統(tǒng)和儲(chǔ)能系統(tǒng)的核心組件，其性能直接影響系統(tǒng)的整體效率和可靠性。（剩余12488字）