The invention discloses a power battery anomaly detection method and device, a storage medium and an electronic device. The method comprises the following steps: collecting state data of a power battery; screening multiple frames of to-be-detected data of the power battery from the state data; according to the multiple frames of to-be-detected data, abnormal characterization calculation is carried out, an abnormal characterization index is obtained, and the abnormal characterization index is used for determining the information entropy variable quantity of the power battery; and based on the anomaly characterization index, carrying out anomaly judgment analysis on the power battery, and determining an anomaly detection result of the power battery. According to the invention, the technical problem of low detection result accuracy and stability of a power battery anomaly detection method based on the Pauta criterion in the prior art is solved.
本发明公开了一种动力电池异常检测方法、装置、存储介质及电子装置。其中,该方法包括:采集动力电池的状态数据;从状态数据中筛选得到动力电池的多帧待检测数据;根据多帧待检测数据进行异常表征计算,得到异常表征指标,其中,异常表征指标用于确定动力电池的信息熵变化量;基于异常表征指标,对动力电池进行异常判定分析,确定动力电池的异常检测结果。本发明解决了相关技术中基于拉依达准则进行动力电池异常检测的方法其检测结果准确率和稳定性较低的技术问题。
Power battery anomaly detection method and device, storage medium and electronic device
动力电池异常检测方法、装置、存储介质及电子装置
2022-08-02
Patent
Elektronische Ressource
Chinesisch
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