电池多状态联合估计方法综述I：双状态联合估计

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中图分类号：U469.72；TM912 文献标志码：A DOI：10.19822/j.cnki.1671-6329.20240310

【Abstract】Firstly，thispaperreviewsthedefinitionsofthekeystatesoflithium-ionbatteries，including Stateof Charge（SOC），Stateof Power （SOP），State ofFunction （SOF），State of Energy （SOE），Stateof Health （SOH），Remaining UsefulLife （RUL），Stateof Temperature（SOT）andStateofSafety（SOS），andanalyzestheircouplingrelationships.Then，it clasifiesandelaborates themethods forjointestimationofbaterydoublestates.Inthefuture，multi-statejointestimation canfurther improve theestimationaccuracy.Advanced sensor technologies，suchas fiber-optic sensors，canmore accuratelymeasuretheinternalstatequantitiesofbateries.Atpresent，baterygroupstateestimationismostlyfocusedon individualcels，anditisnecessarytofurtherexplorethejointestimationatthebaterymoduleandgrouplevels.Giventhe nonlinearcharacteristicsof lithium-ion bateries，machine learningcanachieve higherestimationaccuracywithrelatively lowcomplexity.Withthedevelopmentofbigdataandcloud technologies，new-typebatterystateestimationwillbecomea trend.

KeyWords：Lithium-ionbattery，Batterymanagementsystem，Statejoint-estimation

0引言

稳定可靠的电池管理系统（BatteryManagementSystem，BMS）可以准确监控电池状态，确保电池在安全的工作区域运行，并且最大限度提高电池的能量传输能力，延长电池的使用寿命。（剩余25431字）