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通过粉碎和基于粒径的分离来靶向锂离子电池回收中的高价值金属。

Targeting high value metals in lithium-ion battery recycling via shredding and size-based separation.

机构信息

Underwriters Laboratories LLC, Northbrook, IL, USA.

Golisano Institute for Sustainability (GIS), Rochester Institute of Technology, 81-2175 190 Lomb Memorial Drive, Rochester, NY 14623, USA.

出版信息

Waste Manag. 2016 May;51:204-213. doi: 10.1016/j.wasman.2015.10.026. Epub 2015 Nov 11.

DOI:10.1016/j.wasman.2015.10.026
PMID:26577459
Abstract

Development of lithium-ion battery recycling systems is a current focus of much research; however, significant research remains to optimize the process. One key area not studied is the utilization of mechanical pre-recycling steps to improve overall yield. This work proposes a pre-recycling process, including mechanical shredding and size-based sorting steps, with the goal of potential future scale-up to the industrial level. This pre-recycling process aims to achieve material segregation with a focus on the metallic portion and provide clear targets for subsequent recycling processes. The results show that contained metallic materials can be segregated into different size fractions at different levels. For example, for lithium cobalt oxide batteries, cobalt content has been improved from 35% by weight in the metallic portion before this pre-recycling process to 82% in the ultrafine (<0.5mm) fraction and to 68% in the fine (0.5-1mm) fraction, and been excluded in the larger pieces (>6mm). However, size fractions across multiple battery chemistries showed significant variability in material concentration. This finding indicates that sorting by cathode before pre-treatment could reduce the uncertainty of input materials and therefore improve the purity of output streams. Thus, battery labeling systems may be an important step towards implementation of any pre-recycling process.

摘要

锂离子电池回收系统的开发是当前研究的重点,但仍需要大量研究来优化该过程。一个尚未研究的关键领域是利用机械预处理步骤来提高整体收率。本工作提出了一种预处理过程,包括机械粉碎和基于尺寸的分类步骤,目标是未来可能扩展到工业规模。该预处理过程旨在实现材料的分离,重点是金属部分,并为后续的回收过程提供明确的目标。结果表明,可以将所含的金属材料在不同水平上分离成不同的粒径级分。例如,对于锂钴氧化物电池,在进行此预处理过程之前,金属部分中的钴含量从重量的 35%提高到超细(<0.5mm)级分中的 82%,到细(0.5-1mm)级分中的 68%,而在较大的颗粒(>6mm)中则被排除。然而,多种电池化学成分的粒径级分在材料浓度方面表现出显著的可变性。这一发现表明,在预处理之前根据阴极进行分类可以降低输入材料的不确定性,从而提高输出流的纯度。因此,电池标签系统可能是实施任何预处理过程的重要步骤。

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