Battery consistency detection method and device, computer device, and storage medium
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA SOUTHERN POWER GRID COMPANY
- Filing Date
- 2026-05-28
- Publication Date
- 2026-07-07
AI Technical Summary
Traditional battery consistency assessment methods suffer from low accuracy and cannot effectively monitor the safety and lifespan of energy storage battery systems due to the inconsistent sampling frequencies between cluster-level and cell-level data.
A method for dividing the detection point interval based on the time of change of cell data is adopted. By acquiring battery cluster data and cell data, different detection point intervals are divided, and the anomaly detection results are analyzed using a prediction model to determine the battery consistency detection results.
It improves the timing accuracy and reliability of battery consistency assessment, can comprehensively consider the impact of changes in operating conditions on battery consistency, avoids misjudgment, and enhances the safety and life prediction of battery systems.
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