Mechanism-based fatigue life prediction for polymer-based Cu current collectors in Li-ion batteries

IF 6.8 2区 材料科学 Q1 ENGINEERING, MECHANICAL
Fu-Lai Cheng , Bin Zhang , Xiu-Feng Gong , Xin-Sen Sun , Wei-Si Zhang , Gang Liu , Guang-Ping Zhang
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Abstract

The pursuit of ultra-high energy density and enhanced safety for next-generation Li-ion batteries has driven the shift from metallic to polymer-based current collectors, yet their ultrathin micron-scale metal layers are highly susceptible to fatigue-induced damage with no predictive design tools available. Here, fatigue cracking mechanism of polymer-based Cu current collectors fabricated via one-step and two-step routes is investigated using a real-time resistance method. Quantitative analysis of fatigue crack density reveals that slip-band-dominated cracking is gradually suppressed, with damage becoming localized at pre-existing defects when the strain amplitude exceeds the critical threshold of 0.5 %. Building on these mechanistic insights, a mechanism-based fatigue life model integrating the modified Tanaka-Mura model (for slip band-dominated crack initiation) and the Paris law (for defect-driven crack growth) is proposed to determine the upper and lower bounds of fatigue life. The model demonstrates good agreement with experimental data, partitioning fatigue behavior into two distinct regimes: a slip-band-dominated region, optimized by microstructure design, and a defect-dominated region, controlled by defect tolerance criteria to enhance fatigue resistance in current collectors. Additionally, the model quantifies the maximum tolerable defect sizes required to achieve theoretical slip-band-dominated fatigue limits. Together, these results establish a predictive framework and actionable design principles for engineering fatigue-resistant polymer-based current collectors in advanced battery systems.

Abstract Image

锂离子电池聚合物基Cu集流器疲劳寿命机理预测
下一代锂离子电池对超高能量密度和更高安全性的追求推动了从金属集热器到聚合物集热器的转变,然而,由于没有可用的预测设计工具,它们的超薄微米级金属层极易受到疲劳引起的损伤。本文采用实时电阻法研究了一步法和两步法制备的聚合物基铜集流器的疲劳开裂机理。对疲劳裂纹密度的定量分析表明,当应变幅值超过0.5%的临界阈值时,滑移带主导的裂纹逐渐被抑制,损伤局部化到原有缺陷处。基于这些机制的见解,提出了一种基于机制的疲劳寿命模型,该模型集成了改进的Tanaka-Mura模型(用于滑移带主导裂纹萌生)和Paris定律(用于缺陷驱动裂纹扩展),以确定疲劳寿命的上限和下限。该模型与实验数据吻合良好,并将疲劳行为划分为两个不同的区域:由微结构设计优化的滑移带主导区域和由缺陷容限标准控制的缺陷主导区域,以提高集流器的抗疲劳性。此外,该模型量化了达到理论滑移带主导疲劳极限所需的最大可容忍缺陷尺寸。总之,这些结果为先进电池系统中基于聚合物的工程抗疲劳集流器建立了预测框架和可操作的设计原则。
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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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