Fault battery identification, diagnosis, grading and early warning system and method

Abstract

The invention discloses a fault battery identification, diagnosis and grading early warning system and a fault battery identification, diagnosis and grading early warning method. The system comprises a data segmentation module, an abnormal score calculation module and a fault alarm grade determination module. According to the invention, the fuzzy controller is used for comprehensively judging the abnormity of multiple data of the battery and outputting the grading early warning result, so that the problems of fault diagnosis and grading early warning of the battery system are solved; the method does not need to additionally establish a mathematical model, does not need to manually mark abnormal data points for training, is short in calculation time consumption, is small in computer memory occupation, and can process large-scale data volume or high-dimensional data.

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