4.8 Article

Detangling electrolyte chemical dynamics in lithium sulfur batteries by operando monitoring with optical resonance combs

期刊

NATURE COMMUNICATIONS
卷 14, 期 1, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41467-023-43110-8

关键词

-

向作者/读者索取更多资源

By using fiber-based sensors, the dissolved polysulfide concentration in the electrolyte during cell charge and discharge can be tracked and quantified, providing insights on stability and performance.
Challenges in enabling next-generation rechargeable batteries with lower cost, higher energy density, and longer cycling life stem not only from combining appropriate materials, but from optimally using cell components. One-size-fits-all approaches to operational cycling and monitoring are limited in improving sustainability if they cannot utilize and capture essential chemical dynamics and states of electrodes and electrolytes. Herein we describe and show how the use of tilted fiber Bragg grating (TFBG) sensors to track, via the monitoring of both temperature and refractive index metrics, electrolyte-electrode coupled changes that fundamentally control lithium sulfur batteries. Through quantitative sensing of the sulfur concentration in the electrolyte, we demonstrate that the nucleation pathway and crystallization of Li2S and sulfur govern the cycling performance. With this technique, a critical milestone is achieved, not only towards developing chemistry-wise cells (in terms of smart battery sensing leading to improved safety and health diagnostics), but further towards demonstrating that the coupling of sensing and cycling can revitalize known cell chemistries and break open new directions for their development. The shuttle effect of polysulfides in lithium sulfur batteries leads to performance degradation. Here, authors use fiber-based sensors to track and quantify the dissolved polysulfide concentration in the electrolyte during cell charge and discharge, revealing insights on stability and performance.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据