Research on Monitoring Dimension Expansion of Liquid-cooling Systems Based on a Multi-field Coupling Surrogate Model

XU Rui; LIU Leibang; CHEN Baixu; DONG Xiaoyang; LUO Li; WANG Yajun

doi:10.14044/j.1674-1757.pcrpc.2026.02.007

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Research on Monitoring Dimension Expansion of Liquid-cooling Systems Based on a Multi-field Coupling Surrogate Model

POWER CAPACITOR & REACTIVE POWER COMPENSATION | Development of New Energy Storage Technologies Such as Supercapacitors and Their Applications in the New Power System

Research on Monitoring Dimension Expansion of Liquid-cooling Systems Based on a Multi-field Coupling Surrogate Model
基于多场耦合代理模型的液冷系统监测维度扩展研究
Lanzhou Longneng Power Technology Co., Ltd., Lanzhou 730070, China
Vol. 47, Issue 2, Pages: 60-69(2026)
DOI：10.14044/j.1674-1757.pcrpc.2026.02.007
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XU Rui, LIU Leibang, CHEN Baixu, et al. Research on Monitoring Dimension Expansion of Liquid-cooling Systems Based on a Multi-field Coupling Surrogate Model[J]. Power Capacitor & Reactive Power Compensation, 2026, 47(2): 60-69.
DOI：

XU Rui, LIU Leibang, CHEN Baixu, et al. Research on Monitoring Dimension Expansion of Liquid-cooling Systems Based on a Multi-field Coupling Surrogate Model[J]. Power Capacitor & Reactive Power Compensation, 2026, 47(2): 60-69. DOI： 10.14044/j.1674-1757.pcrpc.2026.02.007.

摘要

储能系统在调频运行条件下普遍存在监测维度有限及内部状态难以全面观测的问题，对此，本研究提出并验证了一种基于多场耦合代理模型的监测扩展与多物理场重构方法。基于ANSYS Fluent软件构建锂离子电池电-热-流体耦合模型，通过实验参数辨识与加速量热仪数据校验其精度，并利用该高保真的多场耦合模型生成的仿真数据对代理模型进行节点的单独训练。实验结果表明，代理模型能够在复杂工况下捕捉节点的温度演化趋势，其多物理场重构结果与数值仿真结果高度吻合。研究最终构建的多场耦合代理模型不仅有效扩展了储能系统的监测维度，实现多物理场的快速准确重构，还为电网调频场景下储能系统的安全运行提供保障。

Abstract

Energy storage systems in frequency-regulation operation condition commonly suffer from such problems as limited monitoring dimension and insufficient observability of internal status. To address this issue，in this paper a monitoring-dimension expansion and multiphysics field reconstruction approach based on a coupled surrogate model is proposed and verified. An electro-thermal-fluid coupled model of lithium-ion battery is constructed by using ANSYS Fluent software，and its accuracy is calibrated through experimental parameter identification and validation and accelerating rate calorimeter measurements. The simulation data generated by he high fidelity multi-field coupling model are subsequently used to train the surrogate model on individual spatial nodes. The experimental results show that the surrogate model is capable of capturing the temperature evolution trends at each node under complex operating conditions，with reconstructed multiphysics fields showing high consistency with numerical simulation results. The multifield coupling surrogate model ultimately developed in this study not only effectively expands the monitoring dimensions of the energy storage system，enabling rapid and accurate reconstruction of multiple physical fields，but also provides safeguards for the safe operation of storage systems in grid frequencyregulation scenarios.

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