在离子电池回收过程中,X射线光光谱用于快速识别阴极化学物质
Feihong Ren1,2, Vladimir Vidal1, Andréa Campos3
1Aix Marseille Univ, CNRS, IRD, INRAE, Coll France, CEREGE, Aix-en-Provence, France.
Communications engineering
|March 2, 2026
概括
在使用过的离子电池中快速识别阴极化学是有效回收的关键. 这项研究引入了一种快速的X射线光光谱法,用于快速,准确的分类,无需拆卸电池.
科学领域:
- 材料科学 材料科学 材料科学
- 分析化学 分析化学
- 回收技术的回收技术
背景情况:
- 有效回收离子电池 (LIB) 需要有效识别正极材料.
- 目前涉及拆卸或广泛测试的方法很慢,对于大规模的回收操作来说是不切实际的.
研究的目的:
- 开发一种快速且非破坏性的方法,用于对已退役的离子电池中的阴极化学物质进行分类.
- 为了实现更快,更有效的电池回收分类.
主要方法:
- 利用X射线光学 (XRF) 光谱,从100多个寿命已结束的LIB中收集元素光谱.
- 采用统计分析和分组来分类阴极化学物质.
- 通过选择性电池拆卸和化学分析验证了分类模型.
主要成果:
- 建立了来自各种LIB阴极的元素光谱的参考数据集.
- 开发了一个分类模型,能够在几秒钟内从XRF光谱中识别阴极类型.
- 实现了高预测准确度,用于快速的阴极识别.
结论:
- 拟议的基于XRF的策略为LIB回收中的阴极识别提供了一个快速,准确和非破坏性的方法.
- 这种方法显著提高了退役电池的分类效率,支持可持续的回收实践.
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