在碳中和背景下，发展提高能源利用率的先进方法已成为全球首要关注问题。储能技术广泛应用于新能源和可再生能源领域，其中，单体电池温度和系统热分布均匀性决定储能系统使用性能和安全性，而高效的锂离子电池热管理系统是保障其安全运行的关键。液体冷却因其高效散热、精确控温等特点已成为当前主流热管理方式。液冷板压降是液冷系统设计过程中的重要指标，压降过大会降低散热效果、增加水泵功率消耗，从而增加冷却系统能耗，降低使用寿命。因此，在制定储能电池Pack液冷系统冷却策略时，应选择适当的冷却液温度和流量，在保证单体电池于适宜的温度和温差范围内工作的前提下，尽可能降低液冷系统压降。本文基于STAR-CCM+仿真软件对某个由52个314 Ah单体电池串联的储能电池Pack液冷系统进行精确的建模求解，利用控制变量法和三维曲面法探究冷却液温度和流量对电池Pack散热性能以及系统压降的最优解。结果表明，冷却液温度约为20℃、流量为5～6 L/min时，可保证电池Pack良好散热性能的同时控制系统能耗较低。该方法在节约研发时间和测试成本的前提下，为储能液冷系统冷却策略制定提供参考。

In the context of carbon neutrality, developing advanced methods to improve energy efficiency has become a global priority. Energy storage technology is widely applied in new energy and renewable energy, where the temperature of individual cells and the uniformity of system thermal distribution determine the performance and safety of the energy storage system. An effective thermal management system for lithium-ion batteries is crucial for ensuring their safe operation. Liquid cooling has become the main thermal management method due to its high heat dissipation efficiency and precise temperature control. The pressure drop across liquid cooling plate is a critical parameter in liquid cooling system design. Excessive pressure drop reduces the heat dissipation effectiveness, increase pump power consumption, and consequently raises energy consumption while shortening system lifespan. Therefore, when formulating the cooling strategy of the energy storage battery pack liquid cooling system, it is essential to select appropriate coolant temperature and flow rate to minimize system pressure drop while maintaining optimal operating temperatures and temperature differentials for individual cells. This study employs the STAR-CCM+ simulation software to accurately model a liquid cooling system for a battery pack consisting of 52 314 Ah individual cells in series. Control variable method and three-dimensional surface method were used to explore the optimal solution of coolant temperature and flow on the heat dissipation performance of battery Pack and the system pressure drop. The results show that when the coolant temperature is set at 20 ℃ and the flow rate is set at 5～6 L/min, the battery Pack can control the energy consumption while ensuring the optimal heat dissipation performance. Under the premise of saving research and development time and testing cost, this method provides corresponding ideas for the cooling strategy formulation of energy storage.