A battery cluster charging and discharging control method and device and energy storage system
By monitoring the voltage of individual cells in real time and controlling the switching in and out according to the battery pack conditions, and by combining predictive models to optimize the charging and discharging of the battery cluster, the problem of frequent switching out caused by differences in individual cells in the battery cluster is solved, thereby improving the system's operating efficiency and power utilization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SYL (NINGBO) BATTERY CO LTD
- Filing Date
- 2026-01-13
- Publication Date
- 2026-06-05
AI Technical Summary
Existing technologies frequently cut off individual cells in battery clusters due to performance differences, affecting system operation. Furthermore, existing cutting-off strategies fail to effectively account for minute differences, leading to increased equipment losses.
By acquiring the voltage of individual cells in real time, it is determined whether the battery pack meets the conditions for cutting out or cutting in, and the cutting in or cutting out of the battery pack is controlled to avoid frequent switching. A predictive model is used to predict the cluster voltage after the battery pack is cut out, and the charging and discharging process is optimized.
It improves the system's trouble-free operating time, reduces equipment wear and tear, and increases the overall charge and discharge capacity of the cluster.
Smart Images

Figure CN122159462A_ABST