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Evaluation of Laser Induced Breakdown Spectroscopy (LIBS) for Analyzing Li-Ion Battery Components

机译:激光诱导击穿光谱法(LIBS)用于分析锂离子电池组件的评估

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The evaluation of LIBS (Laser Induced Breakdown Spectroscopy) to perform quantitative measurements on battery materials, depth-profiling measurements on solid-state batteries, display chemical maps that represent chemical distribution by depth, and ability to acquire quantitative data will be presented. These types of analyses can be useful for new battery design-structures, and quality control to assess potential contamination. Typical solution-based elemental analysis techniques, such as ICP-OES and ICP-MS, cannot reveal structural information of these components. XRF, another popular elemental analysis technique, cannot provide sensitivity coverage for important elements of Li-ion battery-electrodes matrices, such as Li,C,H,O,F, and N. Alternative surface and depth-profiling analysis techniques, like SIMS, GD-MS, Spark-OES, and XPS, require complex vacuum instrumentation, suffer from low measurement throughputs, and/or are expensive.
机译:将介绍如何对LIBS(激光诱导击穿光谱法)进行评估,以对电池材料进行定量测量,对固态电池进行深度轮廓测量,显示按深度代表化学分布的化学图以及获取定量数据的能力。这些类型的分析对于新的电池设计结构和评估潜在污染的质量控制很有用。常规的基于溶液的元素分析技术(例如ICP-OES和ICP-MS)无法揭示这些组件的结构信息。 XRF是另一种流行的元素分析技术,它不能为锂离子电池电极矩阵的重要元素(例如Li,C,H,O,F和N)提供敏感度范围。替代的表面和深度轮廓分析技术,例如SIMS GD-MS,Spark-OES和XPS,GD-MS,Spark-OES和XPS需要复杂的真空仪器,测量吞吐量低和/或价格昂贵。

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