MétaCan
Menu
Retour à la cohorte
Enregistrement W2344111232 · doi:10.1149/ma2016-03/2/1230

Recycling of Electric Vehicle Lithium Ion Batteries: Development of a Novel Method to Recover Lithium from Leached Cathodes Based on Donnan Dialysis

2016· article· en· W2344111232 sur OpenAlexaff
Alexandru Sonoc, J. Jeswiet

Notice bibliographique

RevueECS Meeting Abstracts · 2016
Typearticle
Langueen
DomaineEngineering
ThématiqueExtraction and Separation Processes
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésLeaching (pedology)Lithium (medication)Lithium carbonateLeachateBattery (electricity)CathodeAnodeMaterials scienceWaste managementEnvironmental scienceChemistryIonEnvironmental chemistryElectrodeEngineeringIonic bonding

Résumé

récupéré en direct d'OpenAlex

Lithium ion batteries (LIBs) are the battery of choice for electric vehicles (EVs) at present and for the foreseeable future. Adoption of EVs at a rate as high as possible is highly desirable since EVs have no direct emissions of green-house gases, smog causing chemicals, or particulate matter. The IEA has developed a roadmap to achieve 50% electrification of passenger vehicles by 2050. Unfortunately the literature shows that by the mid 2020’s lithium producers will not be able to keep up with the demand forecasted by the roadmap without recycling of EV LIBs [1]. To avoid a bottleneck, we calculated that depleated EV LIBs should be recycled and the lithium contained therein be used to make new LIBs at a rate of 28% and 75% in 2025 and 2040 (if the batteries last 5 years) or 40% and 96% in 2025 and 2035 respectively (if the batteries last 10 years). Currently, LIB cathodes are recycled by leaching the cathodes in acid, recovering transition metals one at a time by solvent extraction, and recovering lithium as lithium carbonate by precipitation with sodium carbonate. Leaching efficiencies of ~100% have been reported, but precipitation efficiencies for lithium have stagnated at 80% for the last 17 years [2], [3]. Additionally the highest purity lithium carbonate purity reported is 99.18% [3]. The purity required for EV LIBs is 99.9 to 99.99%. We are developing a novel process to recover lithium from leachate (see the figure below) based on Donnan dialysis with cation exchange membranes (CEM). Lithium ions are extracted first with a monovalent CEM ({1} in the figure) then ions of the other cathode metals (Co, Mn, and Ni) with a polyvalent CEM ({2} in the figure). Lithium is recovered by: neutralizing the acidic Li solution obtained from the first monovalent CEM ({1} in the figure); exchanging Li ions with K ions from a potassium bicarbonate solution pressurized with CO 2 with another monovalent CEM ({3} in the figure); depressurizing the Li enriched KHCO 3 solution, which results in the precipitation of lithium carbonate (the desired product); adding KHCO 3 to make up the K ions exchanged; re-pressurising; and recycling the entire solution past the monovalent cation exchange membrane ({3} in the figure). The transition metal salts recovered in step {2} may be separated by solvent extraction or crystalized and used mixed in making new cathodes with the same chemistry as the leached cathodes. The work we have performed so far is equilibrium calculations on each of the stages and preliminary experiments to determine the mass transfer coefficients across the membranes. For steps {1} and {2} we assumed three counter-current equilibrium stages and stripping acid [H + ] =0.90 M. We assumed a leach solution concentration of [Li + ] = 0.285 M, [Co ++ ] = [Ni ++ ] = [Mn ++ ] = 0.095 M for step {1} and [Co ++ ] = [Ni ++ ] = [Mn ++ ] = 0.095 M for step {2}. We obtained a theoretical lithium recovery of 97.6% in step {1}, and a Co, Ni, and Mn theoretical recoveries of 99.1% in step {2}. For step {3} we assumed an incoming [Li + ] = 0.278 M, a stripping solution of [KHCO 3 ] =2 M and [Li + ] =0.0935 M (this is the solubility limit of LiHCO 3 prior to re-pressurization with CO 2 ). The theoretical lithium recovery using three counter-current equilibrium stages was calculated to be 95.3%. Thus the theoretical overall maximum lithium recovery rate given by the process is 93.0%, which is superior to values presented in literature and is achievable in a process free of sodium, where leaching solution is recyclable, and where there is no heating. Our preliminary experiments reveal that using a Neosepta CMS monovalent cation exchange membrane the transmembrane mass transfer coefficients of Mn ++ , Co ++ , Ni ++ , when these ions are present at concentrations between 0.005 and 0.095 M and when the stripping acid [H + ] is between 0.10 and 0.90 M, are less than 1% of the coefficient of lithium. Thus, the Neosepta CMS monovalent CEM provides an excellent separation of lithium from cobalt, nickel, and manganese. [1] H. Vikström, S. Davidsson, and M. Höök, “Lithium availability and future production outlooks,” Appl. Energy , vol. 110, pp. 252–266, Oct. 2013. [2] P. Zhang, T. Yokoyama, O. Itabashi, Y. Wakui, T. M. Suzuki, and K. Inoue, “Hydrometallurgical process for recovery of metal values from spent lithium-ion secondary batteries,” Hydrometallurgy , vol. 47, no. 2–3, pp. 259–271, 1998. [3] X. Chen, Y. Chen, T. Zhou, D. Liu, H. Hu, and S. Fan, “Hydrometallurgical recovery of metal values from sulfuric acid leaching liquor of spent lithium-ion batteries,” Waste Manag. , vol. 38, pp. 349–356, 2015. Figure 1

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,099
Score d'incertitude au seuil0,666

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,029
Tête enseignante GPT0,276
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueECS Meeting AbstractsMême sujetExtraction and Separation ProcessesTravaux en français237 207