Multi-stage early warning linkage control method and system for energy storage system

By aligning the timing of multimodal data streams and fusing their features, combined with a dynamic risk assessment model, multi-level early warning and linkage control of the energy storage system was achieved. This solved the problem of not being able to identify parameter coupling patterns in existing technologies, accurately identified risk levels and implemented matching safety protection measures, thereby improving the system's safety.

CN121769869APending Publication Date: 2026-03-31ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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Patent Information

Application Number
CN202511818005.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-04
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

Existing early warning and control methods for energy storage systems cannot effectively identify the coupling relationship between parameters, making it difficult to accurately match the safety protection requirements of different risk levels, resulting in an inability to distinguish between minor and serious fault alarm handling.

Method used

By acquiring multimodal real-time data streams from energy storage systems, time-series alignment and feature-level fusion are performed to generate fused feature vectors. A pre-trained dynamic risk assessment model is then used to output a comprehensive risk score and early warning level, in conjunction with a hierarchical and progressive linkage control strategy.

Benefits of technology

It enables early identification of safety hazards in energy storage systems, avoids missed reports caused by single data monitoring, accurately matches the safety protection requirements of different risk levels, and improves the safety and reliability of the system.

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Abstract

The invention discloses a multistage early warning linkage control method and system for an energy storage system, and relates to the technical field of safety of battery energy storage systems, and the method comprises the steps: obtaining multi-modal real-time data streams, including voltage, current, temperature, specific gas concentration and internal pressure of a box body, of a single battery / battery box layer in the energy storage system; performing time sequence alignment and feature level fusion on the multi-modal real-time data stream to generate a fusion feature vector; inputting the fusion feature vector into a pre-trained dynamic risk assessment model, and outputting a comprehensive risk score and a corresponding early warning level of the battery; and according to the early warning grade, executing a matched linkage control strategy by following a grading progressive principle. According to the method, the basic statistical characteristics, the related characteristics and the model driving characteristics are fused, the coupling rule among the parameters is comprehensively identified, the pre-trained dynamic risk assessment model is matched, the comprehensive risk score and the early warning level are output, and the safety protection requirements of different risk levels are accurately matched.
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