Quantifying the effect of degradation modes on Li-ion battery thermal instability and safety

IF 18.9 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Venkatesh Kabra , Avijit Karmakar , Bairav S. Vishnugopi, Partha P. Mukherjee
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引用次数: 0

Abstract

Understanding the thermal stability of lithium-ion (Li-ion) cells is critical to ensuring optimal safety and reliability for various applications such as portable electronics and electric vehicles. In this work, we demonstrate a combined modeling and experimental framework to interrogate and quantify the role of different degradation modes on the thermal stability and safety of Li-ion cells. A physics-based Li-ion cell aging model is developed to describe the underpinning role of degradation mechanisms such as Li plating, solid electrolyte interphase growth, and the loss of electrode active material on the resulting capacity fade during cycling. By incorporating mechanistic degradation descriptors from the aging model, we develop a degradation-aware cell-level thermal stability framework that captures key safety characteristics such as thermal runaway (TR) onset temperature, self-heating rate, and peak TR temperature for different cycling conditions. Additionally, we perform electrochemical and accelerating rate calorimetry (ARC) experiments to evaluate the thermo-kinetic parameters associated with the various exothermic reactions during TR of pristine and aged Li-ion cells. Through a synergistic integration of thermo-electrochemical characteristics from the ARC experiments and degradation insights from the cell aging model, the proposed aging-coupled safety framework provides a baseline to quantify the thermal stability of Li-ion cells subject to a wide range of operating conditions and degradation scenarios.
量化退化模式对锂离子电池热不稳定性和安全性的影响
了解锂离子(Li-ion)电池的热稳定性对于确保便携式电子产品和电动汽车等各种应用的最佳安全性和可靠性至关重要。在这项工作中,我们展示了一个建模与实验相结合的框架,用于分析和量化不同降解模式对锂离子电池热稳定性和安全性的影响。我们开发了一种基于物理学的锂离子电池老化模型,用于描述锂镀层、固体电解质相间生长和电极活性材料损耗等降解机制在循环过程中对容量衰减产生的基础作用。通过结合老化模型中的机理降解描述符,我们开发了一个降解感知电池级热稳定性框架,该框架可捕捉不同循环条件下的热失控(TR)起始温度、自热率和TR峰值温度等关键安全特性。此外,我们还进行了电化学和加速速率量热法(ARC)实验,以评估原始和老化锂离子电池在热失控过程中与各种放热反应相关的热动力学参数。通过将 ARC 实验得出的热电化学特性和电池老化模型得出的降解见解进行协同整合,所提出的老化耦合安全框架为量化锂离子电池在各种工作条件和降解情况下的热稳定性提供了基准。
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
Energy Storage Materials
Energy Storage Materials Materials Science-General Materials Science
CiteScore
33.00
自引率
5.90%
发文量
652
审稿时长
27 days
期刊介绍: Energy Storage Materials is a global interdisciplinary journal dedicated to sharing scientific and technological advancements in materials and devices for advanced energy storage and related energy conversion, such as in metal-O2 batteries. The journal features comprehensive research articles, including full papers and short communications, as well as authoritative feature articles and reviews by leading experts in the field. Energy Storage Materials covers a wide range of topics, including the synthesis, fabrication, structure, properties, performance, and technological applications of energy storage materials. Additionally, the journal explores strategies, policies, and developments in the field of energy storage materials and devices for sustainable energy. Published papers are selected based on their scientific and technological significance, their ability to provide valuable new knowledge, and their relevance to the international research community.
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