An abnormality diagnosis and repair method and system of an energy storage device and a storage medium

By deconstructing the feature parameters and reconstructing local areas of the real-time operating data of energy storage devices, targeted repair solutions are formulated. The repair effect is verified by synchronous re-inspection of all state parameters, which solves the problems of accuracy and efficiency in the diagnosis and repair of energy storage devices and achieves efficient anomaly handling.

CN122286602APending Publication Date: 2026-06-26NANJING TIANSU AUTOMATION CONTROL SYST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING TIANSU AUTOMATION CONTROL SYST CO LTD
Filing Date
2026-05-29
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

The existing energy storage equipment lacks precision in anomaly diagnosis and lacks targeted repair work, resulting in low efficiency in diagnosis and repair.

Method used

By deconstructing the feature parameters and mapping the feature space of the real-time operation data of the energy storage equipment, and reconstructing the local area in combination with the coordinates of the location where the anomaly occurred, a targeted repair plan is formulated. The repair effect is verified by synchronous re-inspection of all state parameters, and a standardized repair record is formed.

Benefits of technology

It significantly improves the accuracy of anomaly diagnosis and the targeted nature of repair for energy storage equipment, enhances the overall efficiency of anomaly handling, and provides reliable data support and standardized repair records.

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Abstract

This invention relates to the field of anomaly detection technology, and proposes a method, system, and storage medium for anomaly diagnosis and repair of energy storage devices. The method includes: performing anomaly pattern recognition on real-time operating data to obtain initial anomaly event information; reconstructing the operating conditions of a local area to obtain a local state parameter set; optimizing a preset repair strategy mapping library to obtain a targeted repair scheme; capturing the feedback state data of the targeted repair scheme in real time, and evaluating the repair expectation of the feedback state data to obtain a repair action execution record; performing a full-state parameter synchronous re-examination of the target energy storage device to obtain a full-state verification comparison result; and archiving and storing the repair action execution record and the full-state verification comparison result to obtain a repair success record. This invention can improve the efficiency of anomaly diagnosis and repair of energy storage devices.
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