冷却液
传热
热交换器
计算流体力学
热的
计算机科学
核工程
电池(电)
热流密度
流量(数学)
机械工程
热能
发热
水冷
体积流量
热能储存
能量(信号处理)
高保真
汽车工程
接口(物质)
模拟
工程类
常量(计算机编程)
控制理论(社会学)
莫代利卡
灵活性(工程)
工艺工程
传热系数
主动冷却
质量流量
环境科学
电子设备和系统的热管理
散热片
机械
时间常数
热传导
储能
冷却能力
数学模型
控制工程
作者
Jia Guo,Guijie Chen,shihu Ma,Xiao Hu,Jing Li,Shujun Song,Long Huang
摘要
<div class="section abstract"><div class="htmlview paragraph">Linear time-invariant (LTI) reduced-order models (ROMs) have been widely used in battery thermal management simulations due to their low hardware requirements, high computational efficiency, and good accuracy. However, the inherent assumption of LTI behavior limits their applicability in scenarios with varying coolant flow rates, where this assumption is no longer valid. To address this limitation, a novel ROM is developed by decomposing the entire battery thermal system into two subsystems. All solid components are modeled as a traditional LTI ROM, while the coolant channel is represented using Newton’s cooling law. The two subsystems are then coupled through the exchange of heat transfer rate and temperature at the fluid–solid interface between the coolant and the cold plate. Model fidelity is further enhanced by introducing a spatially distributed heat flux during the generation of the LTI ROM for solid components. Validation is performed against CFD simulations at both module and pack levels, under constant and varying flow rates. The results demonstrate that the proposed ROM achieves high accuracy while requiring several orders of magnitude less computational time than the corresponding CFD models.</div></div>
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