The invention discloses a battery risk level determination method and device, a storage medium and a battery management system. The method comprises the following steps: performing feature extraction on operation state data of a battery to obtain at least one grade evaluation feature for evaluating the risk grade of the battery, and performing matching in relation data between a fault related feature and a feature weight by using the at least one grade evaluation feature to obtain a target weight corresponding to the at least one grade evaluation feature; and performing calculation based on the target weight corresponding to the at least one grade evaluation feature, generating an operation state evaluation score of the battery, and determining the risk grade of the battery according to a comparison result of the operation state evaluation score and an early warning score threshold. Different line state evaluation scores correspond to different risk levels, the operation state of the battery is finely evaluated, and on one hand, the false alarm rate of battery fault early warning can be reduced.

    本申请公开了一种电池风险等级确定方法、装置、存储介质及电池管理系统。通过对电池的运行状态数据进行特征提取,以获取用于评估电池风险等级的至少一个等级评估特征,并利用至少一个等级评估特征在故障相关特征与特征权重间的关系数据中进行匹配,得到至少一个等级评估特征所对应的目标权重,并基于至少一个等级评估特征对应的目标权重进行计算,生成电池的运行状态评估分数,从而根据运行状态评估分数与预警分数阈值的比较结果确定电池的风险等级。实现不同的行状态评估分数对应不同的风险等级,对电池运行状态进行精细地评估,一方面可以减少电池故障预警的误报率。


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    Titel :

    Battery risk level determination method and device, storage medium and battery management system


    Weitere Titelangaben:

    电池风险等级确定方法、装置、存储介质及电池管理系统


    Beteiligte:
    LI RUILIN (Autor:in) / ZHANG KUN (Autor:in) / LIU HONGYANG (Autor:in) / ZHAO WEI (Autor:in) / LI SHICHAO (Autor:in)

    Erscheinungsdatum :

    01.11.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen



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