Abnormal battery signal identification, processing, and diagnostic methods

Abstract

The application relates to the technical field of power batteries, in particular to an abnormal battery signal identification, processing and diagnosis method, wherein the abnormal battery signal identification method comprises the following steps: acquiring battery data and a battery model of a power battery; identifying various types of battery signals in the battery data, determining an identification strategy of abnormal battery signals of one or more abnormal types of the power battery according to the battery model; and identifying abnormal battery signals of the corresponding abnormal types in the various types of battery signals according to the identification strategy. Therefore, the method for identifying abnormal battery signals in the prior art is complex, the accuracy of abnormal battery identification is not high, and the sampling data of the power battery is prone to be abnormal, the data quality is poor, the safety and fault diagnosis of the subsequent battery are affected and the like.

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