首页|锂离子电池的劣化:力-电化学耦合机理与模型

锂离子电池的劣化:力-电化学耦合机理与模型

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锂离子电池在充放电循环过程中会不可避免地发生容量衰减,这种性能劣化现象普遍存在,且符合人们的日常认知.然而,显而易见的电池劣化现象背后的机理则是相当复杂.本文首先分别从颗粒尺度和电极尺度入手,对锂离子电池的多尺度-多场-多过程的力-电化学耦合劣化机理进行了梳理,其中对固态电池的劣化进行了单独的讨论.进一步地,本文梳理了用以描述锂离子电池力-电化学耦合劣化行为的劣化模型.需要指出的是,由于电池劣化机理的复杂性和外部可测量的稀缺性,建立劣化模型是具有挑战性的,且目前仍存在巨大的研究空白.基于此,本文提出了一种双向劣化模型的设想,融合物理模型和数据模型,以具有一定物理意义的内变量为纽带,建立围绕内变量的"力学行为-内变量-劣化行为"完整映射,为客观、准确地描述和预测电池劣化行为提供新思路.
Degradation of Lithium-Ion Batteries:Mechanisms and Models of Mechanical-Electrochemical Coupling
Upon charge-discharge cycling,lithium-ion batteries inevitably undergo capacity fading,which is a common and well-acknowledged phenomenon.However,the mechanisms behind this apparent performance degradation are inherently complex.In this review,the mechanical-electrochemical coupling degradation mechanisms of lithium-ion batteries in multi-scale,multi-field,and multi-process are comprehensively reviewed,starting from the particle scale to the electrode scale,with a specific focus on degradation in solid-state batteries.Furthermore,the degradation models used to describe the mechanical-electrochemical coupling degradation behavior of lithium-ion batteries are reviewed.It should be noted that due to the complexity of battery degradation mechanisms and the scarcity of externally measurable parameters,establishing degradation models is challenging,and there is still a considerable research gap.In light of this,a conceptual bidirectional degradation model that integrates physical models and data-driven models is proposed.Serving as links,internal variables with meaningful physical implications should be introduced to establish a comprehensive mapping of"mechanical behavior-internal variables-degradation behavior",to provide a novel approach for objectively and accurately describing and predicting battery degradation behavior.

lithium-ion batteriesperformance degradationmechanical-electrochemical couplingmechanismsphysical modelsdata-driven models

吕浡、陈鑫松、周志宇、宋亦诚、张俊乾

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上海大学上海市应用数学和力学研究所,力学与工程科学学院,力学系,上海 200444

上海大学上海市能源工程力学重点实验室,上海 200444

上海大学力学信息学前沿科学研究基地,上海 200444

锂离子电池 性能劣化 力-电化学耦合 机理 物理模型 数据模型

国家自然科学基金国家自然科学基金

1207218312172205

2024

力学季刊
上海市力学会 中国力学学会 同济大学 上海交通大学

力学季刊

CSTPCD北大核心
影响因子:0.289
ISSN:0254-0053
年,卷(期):2024.45(2)
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