A Lumped Analytical Model for Thermal Management of Sodium Nickel Chloride Battery Module

Jae-Sung Yang, June Kee Min, Choongmo Yang, Keeyoung Jung
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Abstract

A novel lumped analytical model was developed to predict the overall thermal management cycle for sodium nickel chloride (Na-NiCl2) battery module enabling reduced calculation time. Combining experimentally obtained data and previously existing results, joule heat and enthalpy change models for a single cell were established. A four-step numerical lumped model based on the energy balance was formulated considering joule heat, enthalpy changes in electrochemical reaction, natural convection loss, and inner heater configuration. Calculated results from the model are in a good agreement with those obtained from the full 3D computational fluid dynamics algorithm. A set of analyses of electrochemical load cycles showed that the proposed model can be successfully utilized in predicting thermal distributions of various hypothetical modules with different stack sizes, which can greatly expedite the delivery of newly designed high temperature battery modules.
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氯化镍钠电池模块热管理的集总分析模型
建立了一种新的集总分析模型,用于预测氯化镍钠(Na-NiCl2)电池模块的整体热管理周期,从而缩短了计算时间。结合实验得到的数据和已有的结果,建立了单个电池的焦耳热和焓变模型。考虑焦耳热、电化学反应焓变、自然对流损失和内加热器配置,建立了基于能量平衡的四步数值集总模型。模型的计算结果与全三维计算流体力学算法的计算结果吻合较好。一组电化学负载循环分析表明,该模型可以成功地用于预测不同堆叠尺寸的假设模块的热分布,从而大大加快了新设计的高温电池模块的交付速度。
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