The Effect of Battery Configuration on Dendritic Growth: A Magnetic Resonance Microscopy Study on Symmetric Lithium Cells

IF 4.6 4区 化学 Q2 ELECTROCHEMISTRY
Rok Peklar, Urša Mikac, Igor Serša
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Abstract

The potential of metallic lithium to become the anode material for next-generation batteries is hampered by significant challenges, chief among which is dendrite growth during battery charging. These dendritic structures not only impair battery performance but also pose safety risks. Among the non-destructive analytical techniques in battery research, Magnetic Resonance Imaging (MRI) stands out as a promising tool. However, the direct imaging of lithium by 7Li MRI is limited by its low sensitivity and spatial resolution, making it a less effective way of imaging dendrite growth. Instead, a recently introduced indirect imaging approach which is based on 1H MRI of the electrolyte was used in this study. This method was used to sequentially 3D image and thus monitor the charging process of lithium metal symmetric cells in three different electrical circuits, namely those composed of a single cell, four cells in parallel, and four cells in series. The measured sequential images allowed for the measurement of dendrite growth in each cell using volumetric analysis. The growth results confirmed the theoretical prediction that the growth across cells is uneven in a parallel circuit, and even in a series circuit. The methods presented in this study can also be applied to analyze many other dendrite-related issues in batteries.
电池配置对树突生长的影响:对称锂电池的磁共振显微镜研究
金属锂有望成为下一代电池的正极材料,但却面临着巨大的挑战,其中最主要的挑战是电池充电过程中的枝晶生长。这些枝晶结构不仅会影响电池性能,还会带来安全风险。在电池研究的非破坏性分析技术中,磁共振成像(MRI)是一种很有前途的工具。然而,7Li 核磁共振成像的灵敏度和空间分辨率较低,限制了锂的直接成像,使其成为树枝状晶体生长的一种不太有效的成像方法。本研究采用了最近推出的基于电解质 1H MRI 的间接成像方法。该方法用于顺序三维成像,从而监测三种不同电路(即由单个电池、四个并联电池和四个串联电池组成的电路)中锂金属对称电池的充电过程。测量到的连续图像允许使用体积分析法测量每个电池中树突的生长情况。生长结果证实了理论预测,即在并联电路中,甚至在串联电路中,细胞间的生长是不均匀的。本研究提出的方法还可用于分析电池中与树突相关的许多其他问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Batteries
Batteries Energy-Energy Engineering and Power Technology
CiteScore
4.00
自引率
15.00%
发文量
217
审稿时长
7 weeks
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