Probing Multiscale Dynamics of Energy-Dense Batteries by Operando Imaging

利用原位成像技术探测高能量密度电池的多尺度动力学

阅读:1

Abstract

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.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。