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使用激光诱导击穿光谱法对锂离子电池阴极进行均匀性测量。

Homogeneity Measurements of Li-Ion Battery Cathodes Using Laser-Induced Breakdown Spectroscopy.

作者信息

Kappeler Moritz, Basler Carl, Brandenburg Albrecht, Carl Daniel, Wöllenstein Jürgen

机构信息

Department of Production Control, Fraunhofer Institute of Physical Measurement Techniques IPM, Georges-Köhler-Allee 301, 79110 Freiburg, Germany.

Department of Gas and Process Technology, Fraunhofer Institute of Physical Measurement Techniques IPM, Georges-Köhler-Allee 301, 79110 Freiburg, Germany.

出版信息

Sensors (Basel). 2022 Nov 15;22(22):8816. doi: 10.3390/s22228816.

DOI:10.3390/s22228816
PMID:36433409
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9698991/
Abstract

We study the capability of nanosecond laser-induced breakdown spectroscopy (ns-LIBS) for depth-resolved concentration measurements of Li-Ion battery cathodes. With our system, which is optimized for quality control applications in the production line, we pursue the goal to unveil manufacturing faults and irregularities during the production process of cathodes as early as possible. Femtosecond laser-induced breakdown spectroscopy (fs-LIBS) is widely considered to be better suited for depth-resolved element analysis. Nevertheless, the small size and intensity of the plasma plume, non-thermal energy distribution in the plasma and high investment costs of fs-LIBS make ns-LIBS more attractive for inline application in the industrial surrounding. The system, presented here for the first time, is able to record quasi-depth-resolved relative concentration profiles for carbon, nickel, manganese, cobalt, lithium and aluminum which are the typical elements used in the binder/conductive additive, the active cathode material and the current collector. LIBS often causes high variations in signal intensity from pulse to pulse, so concentration determination is, in general, conducted on the average of many pulses. We show that the spot-to-spot variations we measure are governed by the microstructure of the cathode foil and are not an expression of the limited precision of the LIBS setup.

摘要

我们研究了纳秒激光诱导击穿光谱(ns-LIBS)用于锂离子电池阴极深度分辨浓度测量的能力。利用我们为生产线质量控制应用而优化的系统,我们致力于尽早发现阴极生产过程中的制造缺陷和不规则之处。飞秒激光诱导击穿光谱(fs-LIBS)被广泛认为更适合深度分辨元素分析。然而,fs-LIBS的等离子体羽流尺寸小、强度低、等离子体中的非热能分布以及高投资成本,使得ns-LIBS在工业环境中的在线应用更具吸引力。本文首次展示的该系统能够记录碳、镍、锰、钴、锂和铝的准深度分辨相对浓度分布,这些是用于粘结剂/导电添加剂、活性阴极材料和集流体中的典型元素。LIBS通常会导致脉冲间信号强度的高度变化,因此浓度测定一般是基于多个脉冲的平均值进行的。我们表明,我们测量的逐点变化受阴极箔微观结构的支配,而不是LIBS装置有限精度的体现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/23c9025e94c7/sensors-22-08816-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/d2e79b8741a4/sensors-22-08816-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/ca5555b14081/sensors-22-08816-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/e5564e5ac445/sensors-22-08816-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/2bd0e4f5aee0/sensors-22-08816-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/ef1d0d3c455c/sensors-22-08816-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/f9f9c854a574/sensors-22-08816-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/072666746206/sensors-22-08816-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/dfb83a2e8721/sensors-22-08816-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/d2f327d388c7/sensors-22-08816-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/609539766a7e/sensors-22-08816-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/23c9025e94c7/sensors-22-08816-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/d2e79b8741a4/sensors-22-08816-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/4c07f536323f/sensors-22-08816-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/c50c317eba06/sensors-22-08816-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/31947d11e36b/sensors-22-08816-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/ca5555b14081/sensors-22-08816-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/4b78364081d1/sensors-22-08816-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/e5564e5ac445/sensors-22-08816-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/2bd0e4f5aee0/sensors-22-08816-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/ef1d0d3c455c/sensors-22-08816-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/f9f9c854a574/sensors-22-08816-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/072666746206/sensors-22-08816-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/dfb83a2e8721/sensors-22-08816-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/d2f327d388c7/sensors-22-08816-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/609539766a7e/sensors-22-08816-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016a/9698991/23c9025e94c7/sensors-22-08816-g015.jpg

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