公开(公告)号：US20250045594A1

公开(公告)日：2025-02-06

申请号：US18649022

申请日：2024-04-29

Applicant: Sungrow Energy Storage Technology Co., Ltd.

Inventor： Zihao Zhao ,  Jianjie Zhou ,  Tingting Hong ,  Xiaohui Cao ,  Fanglin Chen ,  Lulu Jiang

IPC: G06N3/092 ,  F25B29/00 ,  H01M10/613 ,  H01M10/633 ,  H01M10/6554 ,  H01M10/6569

Abstract: An energy storage system and a thermal management method therefor are provided. The method includes: loading a multi-agent reinforcement learning model pre-trained and optimized through a simulation environment; receiving state observation data at a current time instant; inputting the state observation data into the multi-agent reinforcement learning model for reinforcement learning and reasoning to output multi-control action information; and generating a control action information instruction based on the multi-control action information, transmitting the control action information instruction to a cooling system in the energy storage system, and performing by the cooling system, thermal management on the energy storage system in response to the control action information instruction.