Simulative method for determining the optimal operating conditions for a cooling plate for lithium-ion battery cell modules
Simulative method for determining the optimal operating conditions for a cooling plate for lithium-ion battery cell modules
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DOI：
10.1016/j.jpowsour.2014.06.001
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发表时间：
2014-12
影响因子：
9.2
通讯作者：
Joshua Smith;M. Hinterberger;Peter Hable;J. Koehler
中科院分区：
文献类型：
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作者：
Joshua Smith;M. Hinterberger;Peter Hable;J. Koehler
延长电池系统寿命和降低成本是电动汽车成功的关键。高效的热管理策略是提高系统寿命、增加车辆续航里程的方法之一。车辆的典型空间限制有利于电池热管理系统(BTMS)的尺寸和重量最小化，这使得它们的生产和后续的车辆集成变得极其困难和复杂。针对这些空间要求，通常采用冷却板作为水-甘油冷却回路的一部分。本文提出了一种计算流体动力学(CFD)模型和多目标分析技术，以确定在不同车辆运行条件下冷却板中冷却剂流量和入口温度对电池系统的热效应，从而为一维模型提供动态输入。传统上，一维车辆热管理系统模型假定来自电池系统等组件的静态热输入：因此，组件被设计为具有设定的冷却剂输入(流量和入口温度)。这种设计方法不适用于动态热管理模型和控制策略，从而影响了系统效率。提出的方法允许在车辆冷却剂回路中进行最优的BMTS设计和集成。
Extended battery system lifetime and reduced costs are essential to the success of electric vehicles. An effective thermal management strategy is one method of enhancing system lifetime increasing vehicle range. Vehicle-typical space restrictions favor the minimization of battery thermal management system (BTMS) size and weight, making their production and subsequent vehicle integration extremely difficult and complex. Due to these space requirements, a cooling plate as part of a water–glycerol cooling circuit is commonly implemented.This paper presents a computational fluid dynamics (CFD) model and multi-objective analysis technique for determining the thermal effect of coolant flow rate and inlet temperature in a cooling plate—at a range of vehicle operating conditions—on a battery system, thereby providing a dynamic input for one-dimensional models. Traditionally, one-dimensional vehicular thermal management system models assume a static heat input from components such as a battery system: as a result, the components are designed for a set coolant input (flow rate and inlet temperature). Such a design method is insufficient for dynamic thermal management models and control strategies, thereby compromising system efficiency. The presented approach allows for optimal BMTS design and integration in the vehicular coolant circuit.