Modeling Thermal Runaway of Lithium-Ion Batteries at Cell and Module Level Using Predictive Chemistry

IF 0.7 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
Santhosh R. Gundlapally, B. Holcomb, D. Artuković
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引用次数: 0

Abstract

Thermal runaway of lithium (Li)-ion batteries is a serious concern for engineers developing battery packs for electric vehicles, energy storage, and various other applications due to the serious consequences associated with such an event. Understanding the causes of the onset and subsequent propagation of the thermal runaway phenomenon is an area of active research. It is well known that the thermal runaway phenomenon is triggered when the heat generation rate by chemical reactions within a cell exceeds the heat dissipation rate. Thermal runaway is usually initiated in one or a group of cells due to thermal, mechanical, and electrical abuse such as elevated temperature, crushing, nail penetration, or overcharging. The rate of propagation of thermal runaway to other cells in the battery pack depends on the pack design and thermal management system. Estimating the thermal runaway propagation rate is crucial for engineering safe battery packs and for developing safety testing protocols. Since experimentally evaluating different pack designs and thermal management strategies is both expensive and time consuming, physics-based models play a vital role in the engineering of safe battery packs. In this article, we present all the necessary background information needed for developing accurate thermal runaway models based on predictive chemistry. A framework that accommodates different types of chemical reactions that need to be modeled, such as solid electrolyte interphase (SEI) layer formation and decomposition, anode-solvent and cathode-solvent interactions, electrolyte decomposition, and separator melting, is developed. Additionally, the combustion of vent gas is also modeled. A validated chemistry model is used to develop a module-level model consisting of networks of pouch cells, flow, thermal, and control components, which is then used to study the thermal runaway propagation at different coolant flow rates.
用预测化学方法模拟锂离子电池在电池和组件层面的热失控
锂(Li)离子电池的热失控是开发电动汽车、储能和各种其他应用的电池组的工程师们严重关注的问题,因为这种事件会带来严重的后果。了解热失控现象发生和随后传播的原因是一个活跃的研究领域。众所周知,当电池内化学反应的产热速率超过散热速率时,就会引发热失控现象。热失控通常在一个或一组电池中开始,由于热、机械和电的滥用,如温度升高、压碎、钉穿或过度充电。热失控扩散到电池组中其他电池的速率取决于电池组的设计和热管理系统。热失控传播速率的估算对于安全电池组的工程设计和安全测试方案的制定至关重要。由于实验评估不同的电池组设计和热管理策略既昂贵又耗时,基于物理的模型在安全电池组的工程中起着至关重要的作用。在本文中,我们提出了所有必要的背景信息,需要建立准确的基于预测化学的热失控模型。开发了一个框架,可容纳需要建模的不同类型的化学反应,例如固体电解质间相(SEI)层的形成和分解,阳极-溶剂和阴极-溶剂相互作用,电解质分解和分离器熔化。此外,还模拟了排气的燃烧过程。一个经过验证的化学模型被用于开发一个模块级模型,该模型由袋状电池、流量、热和控制组件组成,然后用于研究不同冷却剂流速下的热失控传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
SAE International Journal of Electrified Vehicles
SAE International Journal of Electrified Vehicles Engineering-Automotive Engineering
CiteScore
1.40
自引率
0.00%
发文量
15
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