A Materials Perspective on Direct Recycling of Lithium‐Ion Batteries: Principles, Challenges and Opportunities

持续性 材料科学 软件部署 电池(电) 纳米技术 储能 重新使用 工艺工程 废物管理 计算机科学 工程类 操作系统 物理 功率(物理) 生物 量子力学 生态学
作者
Panpan Xu,Darren H. S. Tan,Binglei Jiao,Hongpeng Gao,Xiaolu Yu,Zheng Chen
出处
期刊:Advanced Functional Materials [Wiley]
卷期号:33 (14) 被引量:257
标识
DOI:10.1002/adfm.202213168
摘要

Abstract As the dominant means of energy storage technology today, the widespread deployment of lithium‐ion batteries (LIBs) would inevitably generate countless spent batteries at their end of life. From the perspectives of environmental protection and resource sustainability, recycling is a necessary strategy to manage end‐of‐life LIBs. Compared with traditional hydrometallurgical and pyrometallurgical recycling methods, the emerging direct recycling technology, rejuvenating spent electrode materials via a non‐destructive way, has attracted rising attention due to its energy efficient processes along with increased economic return and reduced CO 2 footprint. This review investigates the state‐of‐the‐art direct recycling technologies based on effective relithiation through solid‐state, aqueous, eutectic solution and ionic liquid mediums and thoroughly discusses the underlying regeneration mechanism of each method regarding different battery chemistries. It is concluded that direct regeneration can be a more energy‐efficient, cost‐effective, and sustainable way to recycle spent LIBs compared with traditional approaches. Additionally, it is also identified that the direct recycling technology is still in its infancy with several fundamental and technological hurdles such as efficient separation, binder removal and electrolyte recovery. In addressing these remaining challenges, this review proposes an outlook on potential technical avenues to accelerate the development of direct recycling toward industrial applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
所所应助外向以冬采纳,获得10
刚刚
66666发布了新的文献求助10
刚刚
yao完成签到,获得积分10
刚刚
Owen应助清爽的成风采纳,获得10
刚刚
刚刚
方伟发布了新的文献求助10
刚刚
Devon完成签到,获得积分10
1秒前
1秒前
修狗狗完成签到,获得积分10
1秒前
很好的kkqjj完成签到 ,获得积分10
2秒前
阿阳啊完成签到 ,获得积分20
2秒前
Lidanni完成签到 ,获得积分10
2秒前
123完成签到,获得积分20
2秒前
3秒前
xiao王完成签到,获得积分20
4秒前
SciGPT应助GGGGA采纳,获得10
4秒前
emm完成签到,获得积分10
4秒前
5秒前
Threeeeeee发布了新的文献求助10
6秒前
sober完成签到,获得积分10
7秒前
Eve完成签到,获得积分10
7秒前
LTF完成签到,获得积分10
8秒前
xinyue完成签到,获得积分10
9秒前
yzy完成签到,获得积分10
9秒前
fengw420完成签到,获得积分10
9秒前
10秒前
无极微光应助jjj采纳,获得20
10秒前
10秒前
下文献完成签到,获得积分10
10秒前
研友_VZG7GZ应助aaa采纳,获得10
10秒前
神勇映雁完成签到,获得积分10
10秒前
10秒前
方伟完成签到,获得积分10
11秒前
大个应助yfw采纳,获得10
12秒前
12秒前
13秒前
慕青应助王一达采纳,获得10
13秒前
大意的悟空完成签到 ,获得积分10
14秒前
14秒前
NexusExplorer应助sususu采纳,获得30
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
2016 Venous Blood Study (VBS) (Final V3.0) 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7702561
求助须知:如何正确求助?哪些是违规求助? 9261044
关于积分的说明 20030071
捐赠科研通 7278224
什么是DOI,文献DOI怎么找? 3294245
关于科研通互助平台的介绍 2449697
邀请新用户注册赠送积分活动 2300900