通过操作成像探测能量密集型电池的多尺度动力学特性

Weidong Zhang, Yilu Song, Xinran Du, Junze Guo, Yingying Lu and Xianwen Mao*, 
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摘要

随着电动汽车和便携式电子设备的日益发展,对能量密度高、循环寿命长、安全性强的先进电池的需求也在迅速增长。在封闭的电池系统中,循环过程中会发生一系列复杂的动态行为,如电极颗粒的化学和结构变化、固体电解质相间层(SEI)的形成、导电电极网络的演化和电解质的分布,所有这些都会对电池性能产生显著影响。传统的后循环和批量级、集合平均电化学表征技术在建立电池材料的微观/中观结构与整体宏观设备性能之间的明确关系方面遇到了挑战。在本综述中,我们将及时概述用于电池多尺度表征的操作成像技术的最新发展,包括从亚/单颗粒级和界面到电极网络和整个电池级。运算成像技术揭示了封闭电池系统内的多尺度动态演化机制,从而更深入地了解了制约电池整体性能的关键因素。
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Probing Multiscale Dynamics of Energy-Dense Batteries by Operando Imaging

With the increasing development of electric cars and portable electronic devices, the demand for advanced batteries with high energy density, long cycling lifespan, and enhanced safety is growing rapidly. In closed battery systems, a number of complex dynamic behaviors occur during cycling processes, such as chemical and structural changes of electrode particles, formation of solid electrolyte interphase (SEI), evolution of conducting electrode networks and distribution of electrolytes, all of which collectively impact the battery performance markedly. Conventional postcycling and bulk-level, ensemble-averaged electrochemical characterization techniques encounter challenges in establishing clear relationships between the micro/mesoscale structures of battery materials and the overall macroscopic device performance. In this review, we provide a timely overview of recent developments in operando imaging for multiscale characterization of batteries, spanning from sub/single-particle levels and interfaces to the electrode network and full battery levels. Operando imaging techniques shed light on the multiscale dynamic evolution mechanisms within closed battery systems, uncovering deeper understandings of the key factors that govern overall battery performance.

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