Intelligent diagnostic methods, systems, equipment and media for battery short circuit faults

Abstract

This invention relates to the field of battery fault diagnosis technology, and discloses an intelligent diagnostic method, system, device, and medium for battery short-circuit faults. The method includes: acquiring a set of timestamped battery cell voltage data and generating a diagnostic sequence containing detection nodes; based on the detection node set, controlling a monitoring terminal to collect voltage data, capture current fluctuation signals and extract feature vectors, determine anomaly marker information, and control the diagnostic process according to the status of the detection node set and preset conditions; after diagnosis, sending the feature vectors to an analysis server to obtain fault location identifiers, storing the anomaly marker information, analyzing the differences between the marker information log and the historical log database to determine the fault evolution path, and generating and archiving a diagnostic report when matching a preset path model. The system includes acquisition, sequence construction, and diagnostic execution units. The device includes a processor and storage device, and the medium stores the corresponding program. This invention improves the accuracy, efficiency, and intelligence level of fault diagnosis.

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