A cell data space-time joint compression method and device
By employing a spatiotemporal joint compression method for battery cell data and dynamically determining the priority of time and space compression, the problems of non-real-time data transmission and excessive computational burden in large-scale energy storage systems are solved, achieving efficient data compression and reliability while meeting real-time requirements.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies in large-scale energy storage systems suffer from communication bandwidth bottlenecks, edge storage pressure, unutilized cell consistency, and static time characteristics, resulting in non-real-time data transmission and excessive computational burden.
A spatiotemporal joint compression method for battery cell data is adopted. By judging the time and space compression conditions, time-compressed frames, space-compressed frames or uncompressed frames are generated. Compression priority is dynamically determined. Time compression achieves a high compression ratio when the situation is stable, while space compression achieves effective compression when the battery cell consistency is good. Under abnormal operating conditions, it automatically reverts to the uncompressed mode to ensure data integrity.
Under the condition of limited MCU resources at the edge, this solution balances compression efficiency and data reliability, solves the problem of the lack of frame-level adaptive degradation capability in existing solutions, meets real-time requirements, and reduces computational overhead.
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