利用Operando成像探测能量密集电池的多尺度动力学。

Chem & Bio Engineering Pub Date : 2024-09-01 eCollection Date: 2024-09-26 DOI:10.1021/cbe.4c00097
Weidong Zhang, Yilu Song, Xinran Du, Junze Guo, Yingying Lu, Xianwen Mao
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引用次数: 0

摘要

随着电动汽车和便携式电子设备的日益发展,对高能量密度、长循环寿命和增强安全性的先进电池的需求迅速增长。在封闭电池系统中,循环过程中会发生许多复杂的动态行为,如电极颗粒的化学和结构变化、固体电解质界面相(SEI)的形成、导电电极网络的演变和电解质的分布等,这些都显著影响着电池的性能。传统的后循环和体积级、整体平均电化学表征技术在建立电池材料的微/中尺度结构与整体宏观器件性能之间的明确关系方面遇到了挑战。在这篇综述中,我们及时概述了用于电池多尺度表征的operando成像的最新进展,从亚/单颗粒水平和界面到电极网络和全电池水平。Operando成像技术揭示了封闭电池系统内的多尺度动态演化机制,揭示了对控制电池整体性能的关键因素的更深入理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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