Paper published in a book (Scientific congresses and symposiums)
Process-Oriented Characterisation of Black Masses from Li-Ion Batteries
Batutiako, Michele; Bouzahzah, Hassan; Lambert, Fanny et al.
2025In GDMB Gesellschaft der Metallurgen und Bergleute e.V. (Ed.) EMC2025 Proceedings
Editorial reviewed
 

Files


Full Text
50_PCD_Batutiako_10_Non_Formatted.pdf
Author postprint (525.77 kB)
Request a copy
Annexes
50_PCA_Batutiako.pdf
(179.99 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Li-ion batteries, black mass, characterisation, recycling, hydrometallurgy, process
Abstract :
[en] Following countless Li-ion batteries capacity deployment announcements, the efforts on the recycling of these (end-of-life) products have been recently intensified in Europe, with a focus on Ni, Co, Mn and, at a lesser extent, Li, Cu and graphite recovery. Most current developments include a hydrometallurgical step, with or without a thermal pretreatment, on the so-called black mass. However, these processes tend to settle for a sole chemical analysis of the black mass and barely confront their robustness by feeding black masses differing in composition and/or pretreatment, although these have proven to impact the leaching performances and reagents requirements. This study aims at reinforcing the understanding of black masses behaviours through a systematic process-oriented characterisation using both physical (drying, PSD, magnetic separation, and XRD), chemical (ICP-OES, granulochemical distribution, XRF and TC) and microscopical (optical microscopy and SEM – EDS and Mineralogic) techniques on the process feed and leaching residue. Several industrial black masses have been comprehensively analysed and leached. Links between the composition, identified phases morphology and liberation degree, elements speciation and oxidation/pre-reduction levels, and the leaching performances have been established. As expected, thermally pretreated black masses exhibited some reduced phases of the transition metals (down to the metallic state), and thus required less reductive agents for the leaching than mechanical black masses. In parallel, occurrences of metals alloying could partially explain some leaching recalcitrancy. These results are in line with some previous authors’ empiric deduction and could strengthen their interpretation. All in all, this process-oriented characterisation scheme coupled with leaching experimentation opens doors to a better black mass leaching system comprehension, behaviour and upstream reagents prediction, regardless of the black mass chemistry or pretreatment.
Research Center/Unit :
UEE - Urban and Environmental Engineering - ULiège
Disciplines :
Chemical engineering
Geological, petroleum & mining engineering
Materials science & engineering
Author, co-author :
Batutiako, Michele ;  Université de Liège - ULiège > Urban and Environmental Engineering
Bouzahzah, Hassan ;  Université de Liège - ULiège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Lambert, Fanny ;  Université de Liège - ULiège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Bastin, David ;  Université de Liège - ULiège > Département ArGEnCo
Language :
English
Title :
Process-Oriented Characterisation of Black Masses from Li-Ion Batteries
Publication date :
June 2025
Event name :
European Metallurgical Conference 2025
Event organizer :
GDMB (Gesellschaft der Metallurgen und Bergleute e.V.)
Event place :
Hambourg, Germany
Event date :
du 22 au 26 juin 2025
Audience :
International
Main work title :
EMC2025 Proceedings
Author, co-author :
GDMB Gesellschaft der Metallurgen und Bergleute e.V.
Publisher :
GDMB Gesellschaft der Metallurgen und Bergleute e.V., Germany
ISBN/EAN :
978-3-935797-37-5
Collection ISSN :
3057-2711
Pages :
219-234
Peer review/Selection committee :
Editorial reviewed
Additional URL :
Name of the research project :
CISTEMEEC - Chaînes de valeurs Industrielles, Transition Energétique, Mobilité Electrique et Economie Circulaire
Available on ORBi :
since 08 December 2025

Statistics


Number of views
38 (2 by ULiège)
Number of downloads
0 (0 by ULiège)

Bibliography


Similar publications



Contact ORBi