Recent advances in the industrialization of direct recycling for retired lithium-ion batteries

This review focuses on two crucial core components: pretreatment processes and direct regeneration methods. It highlights recent technological advancements, identifies industrial bottlenecks, and outlines critical directions for future development.

Authors

Institutions

Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-11-25
DOI
https://doi.org/10.1039/d5ta05718c
Citations
2
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recent advances in the industrialization of direct recycling for retired lithium-ion batteries

Yanchun Ke, Feng Liu, Chunsheng Shi, Hongzhao Wu et al.
2 citations
Journal of Materials Chemistry A
Extraction and Separation Processes
1.43
article

Recent advances in the industrialization of direct recycling for retired lithium-ion batteries

Yanchun Ke, Feng Liu, Chunsheng Shi, Hongzhao Wu, Biao Chen, Rong Wang, Shijie Ma, Wenze Wang
article en
2 citations

Abstract

This review focuses on two crucial core components: pretreatment processes and direct regeneration methods. It highlights recent technological advancements, identifies industrial bottlenecks, and outlines critical directions for future development.

Journal of Materials Chemistry AVol. 14(2)
Tianjin University (CN), Fudan University (CN), China Resources (China) (CN), Tianjin Energy Investment Group (China) (CN)
Openalex Percentile: Top 16%
Extraction and Separation Processes
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.