Energy storage consistency detection method based on dynamic time bending and application

CN120802070AActive Publication Date: 2025-10-17STATE GRID ENERGY CONSERVATION SERVICE
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Patent Information

Application Number
CN202510624988.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-15
Publication Date
2025-10-17
Estimated Expiration
2045-05-15

AI Technical Summary

Technical Problem

Existing consistency detection methods for energy storage systems have deficiencies in accuracy, real-time performance, and engineering availability, making it difficult to achieve high-precision online detection in complex operating environments. This is especially true when cell parameter inconsistencies and dynamic time offsets are present.

Method used

A storage consistency detection method based on dynamic time warping is adopted. By building a historical operation database of battery cells and dividing the charging, discharging and static states into the voltage change trend, a dynamic time warping algorithm is used to quantify the similarity of battery cell voltage time series data, and a density peak clustering method is introduced for unsupervised identification and abnormal cell positioning, thus achieving high-precision monitoring of battery cell consistency in the energy storage compartment.

Benefits of technology

It significantly improves the accuracy and robustness of battery cell consistency detection, enables online evaluation in actual energy storage systems, reduces energy storage cabin maintenance costs, improves system safety and operating efficiency, and avoids problems such as battery cell overcharging and over-discharging.

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Abstract

The invention discloses an energy storage consistency detection method based on dynamic time bending and application, relates to energy storage system characteristics, data analysis and machine learning methods, and solves the problems that the consistency of battery cells in an energy storage cabin is difficult to assess, the battery cells are not easy to position due to inconsistency and the like. Therefore, the problems that the internal capacity of the energy storage cabin cannot be fully utilized due to inconsistency of the battery cells, and the battery cells are on fire due to over-charging and over-discharging are effectively solved. The method mainly comprises the following steps of: 1, collecting and sorting the voltage of an energy storage cabin cell and the temperature data of a temperature measuring point; secondly, dividing voltage data into a charging period, a discharging period and a standing period according to the voltage change condition of the battery cell, and calculating the distance between sample points according to the data; and 3, carrying out clustering analysis on the voltage data of each battery cell, judging inconsistency, and positioning an abnormal single battery. The basic thought of the method is that the energy storage consistency state is judged and the abnormal single body is positioned by analyzing the time sequence parameters of each battery cell in the energy storage cabin.
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Citation Information

Patent Citations

  • Lithium battery energy storage system battery cluster consistency detection device and method

    CN119291551A

  • Method for detecting and positioning inconsistent abnormal monomers of battery cluster

    CN119619863A

  • Method and device for evaluating uniformity of cascaded battery packs

    CN107093775A

  • Energy storage battery consistency diagnosis method based on evidence K neighbor classifier

    CN114648066A

  • Large-scale energy storage power station abnormal battery identification method and device, and storage medium

    CN115511013A

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