Temperature control system and control method for energy storage system
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FAROE ELECTRIC POWER (ZHEJIANG) CO LTD
- Filing Date
- 2026-04-22
- Publication Date
- 2026-05-26
AI Technical Summary
Existing temperature control methods for energy storage systems lack the ability to predict temperature change trends, resulting in delayed temperature control response and an inability to avoid abnormal temperature risks in advance, thus affecting system performance and safety.
By employing distributed temperature sensors and LSTM neural networks for temperature prediction, combined with a temperature control strategy optimization module and a redundancy protection module, precise temperature control of the energy storage system can be achieved.
It achieves high-precision temperature prediction and rapid response, with a cell temperature difference of ≤3℃, reducing energy consumption by 30%, adapting to extreme environments, and improving system safety and reliability.
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Abstract
Citation Information
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