Multi-failure mode characterization and low-cycle fatigue assessment of Si C core–shell particles in the lithium-ion battery

IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL
Haoyu Ding , Xiaoxiao Wang , Haofeng Chen , Weiling Luan , Shan-Tung Tu
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Abstract

Si C composites are considered potential anode materials due to better cycling stability, compared to pure silicon. However, severe volume expansion of Si during cycling results in various failure forms of Si C particles, exposing the Si core to the electrolyte, generating Solid-Electrolyte Interface (SEI) films, and consuming lithium-ions in the electrolyte solution. In this paper, a coupled mechanical-chemical model is developed to analyze different failure modes of the particle during the charge and discharge cycle. Besides, the Direct Steady Cyclic Analysis (DSCA) under the Linear Matching Method (LMM) framework is utilized to evaluate the fatigue damage at the critical location of the particle. With the C shell thickness increased, the particle is more prone to debonding failure between the Si core and C shell, while a thicker C shell can mitigate the volume expansion of the Si core and alleviate fatigue damage in the C shell. This study also establishes a threshold size to identify the significant acceleration of low-cycle fatigue damage, which provides theoretical guidance for particle design.

Abstract Image

锂离子电池硅碳芯壳颗粒多失效模式表征及低周疲劳评估
与纯硅相比,硅碳复合材料具有更好的循环稳定性,因此被认为是潜在的阳极材料。然而,在循环过程中,Si的严重体积膨胀导致Si - C颗粒的各种失效形式,使Si核暴露于电解质中,产生固体-电解质界面(SEI)膜,并消耗电解质溶液中的锂离子。本文建立了一个力学-化学耦合模型,分析了颗粒在充放电循环过程中的不同失效模式。此外,利用线性匹配法框架下的直接稳态循环分析(DSCA)对颗粒临界位置的疲劳损伤进行了评估。随着C壳厚度的增加,颗粒更容易发生Si芯与C壳间的脱粘破坏,而C壳厚度的增加可以减轻Si芯的体积膨胀,减轻C壳内的疲劳损伤。本文还建立了识别低周疲劳损伤显著加速的阈值大小,为颗粒设计提供理论指导。
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来源期刊
International Journal of Fatigue
International Journal of Fatigue 工程技术-材料科学:综合
CiteScore
10.70
自引率
21.70%
发文量
619
审稿时长
58 days
期刊介绍: Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.
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