Leaching state prediction for battery black mass using online sensor data

An innovative process monitoring strategy during battery black mass leaching, using correlation analysis, regression modeling, and mechanistic interpretation.

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Publication Details

Journal
Green Chemistry
Published
2025-01-01
DOI
https://doi.org/10.1039/d5gc00581g
Citations
4
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
2.85

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article

Leaching state prediction for battery black mass using online sensor data

Wei Song, Bernd Friedrich, Fabian Diaz, Tobias Kleinert et al.
4 citations
Green Chemistry
Extraction and Separation Processes
2.85
article

Leaching state prediction for battery black mass using online sensor data

Wei Song, Bernd Friedrich, Fabian Diaz, Tobias Kleinert, Andrey Yasinskiy
article en
4 citations

Abstract

An innovative process monitoring strategy during battery black mass leaching, using correlation analysis, regression modeling, and mechanistic interpretation.

Green ChemistryVol. 27(31)
RWTH Aachen University (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 9%
Extraction and Separation Processes
2.85
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