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Enregistrement W4416608641 · doi:10.1149/ma2025-022281mtgabs

<i>(Battery Division Early Career Award Sponsored by Neware Technology Limited Award)</i> Replacing Inactive Components to Improve Li- and Na-ion Cells

2025· article· W4416608641 sur OpenAlexaff
Anu Adamson, Sebastian Buechele, Thomas Boulanger, Ziwei Ye, Hussein Hijazi, William T. Black, Shanika Abeysooriya, Sam Chisholm, Kenneth Tuul, Saad Azam, Matthew D. L. Garayt, Michel B. Johnson, J. R. Dahn, Michael Metzger

Notice bibliographique

RevueECS Meeting Abstracts · 2025
Typearticle
Langue
DomaineEngineering
ThématiqueAdvancements in Battery Materials
Établissements canadiensDalhousie University
Organismes subventionnairesnon disponible
Mots-clésElectrolyteRedoxBattery (electricity)ElectrodeEnergy storageIon

Résumé

récupéré en direct d'OpenAlex

The ability of lithium- and sodium-ion cells to hold their charge at elevated temperature over extended periods of time is important for a number of applications, e.g., electric vehicles and stationary battery systems for storage of renewable energy deployed in hot climates. We found that LFP and NMC-based lithium-ion cells can experience rapid self-discharge when stored at elevated temperatures, if they do not contain effective electrolyte additives. Cells with LFP positive electrodes show significantly more self-discharge than NMC-based cells. [1-3] Surprisingly, it was found that the rapid self-discharge could be attributed to the in-situ generation of a redox shuttle in commercial LFP and NMC/graphite cells. [1-3] A redox shuttle is a molecule that can diffuse between the positive and negative electrode of a battery and transport electrons from one side to the other through a reversible redox reaction, accepting an electron from the negative electrode and donating it to the positive electrode. This results in lithium ions being transferred from the negative to the positive electrode without charge being drawn from the cell. To fix the self-discharge problem, the origin and formation mechanism of the redox shuttle need to be investigated. First, the reversible and irreversible self-discharge of LFP- and NMC-based cells was quantified with a designated storage protocol. Subsequently, the influence of different formation temperatures on self-discharge was studied. Surprisingly, the visual inspection of the electrolyte extracted from pouch cells after high temperature formation revealed strong discoloration. [1-2] The extracted electrolytes with intense red and brown color showed relatively large shuttling currents in a newly developed Al/Li coin cell setup. [4] Ultra-high precision coulometry was used to detect inefficiencies during cycling, e.g., charge endpoint capacity slippage. [4] Electrolyte additives that effectively passivate the negative electrode, e.g., vinylene carbonate, were effective at preventing the redox shuttle generation as indicated by the absence of electrolyte discoloration, shuttling currents, and charge endpoint capacity slippage. [4] All evidence pointed to a shuttle molecule created at the negative electrode during the formation cycle, i.e., before a passivating solid-electrolyte interface is in place. But what is the shuttle molecule? The identity and formation mechanism of the redox shuttle were investigated by targeted experiments that probe the chemical stability of inactive cell components. We dissected many commercial lithium-ion cells from renowned manufacturers to investigate the composition of the inactive components (see Figure 1). [5] Such inactive components are laminated foils used in pouch cells, gaskets of cylindrical cells, adhesive tapes on the electrodes, separators, and metallized polymer current collectors composed of a thin polymer layer with Al or Cu deposited on both sides. All these components need to be chemically stable, as they could otherwise participate in detrimental side reactions during battery operation. Using gas chromatography and nuclear magnetic resonance spectroscopy, we show that different polymers have vastly different chemical stability against lithium alkoxides that are generated at the unpassivated negative electrode. [5] In the presence of alkoxides some of the polymers decompose into reaction products that can act as redox shuttles. Finally, we will explain how to make Li and Na-ion cells with chemically stable polymer components and demonstrate that self-discharge is virtually eliminated in these cells. [5-7] Figure 1 . A selection of mobile phone batteries that were dissected to find out which inactive components are causing self-discharge. Keywords : Lithium-ion cells, Sodium-ion cells, Self-discharge, Inactive components, Redox shuttles References : [1] T. Boulanger, M. Metzger et al. J. Electrochem. Soc. 169 , 040518 (2022). [2] S. Buechele, M. Metzger et al. J. Electrochem. Soc. 170 , 010511 (2023). [3] S. Buechele, M. Metzger et al. J. Electrochem. Soc. 170 , 010518 (2023). [4] T. Boetticher, M. Metzger et al. J. Electrochem. Soc. 170 , 060507 (2023). [5] A. Adamson, M. Metzger et al. Nature Materials 22 1380–1386 (2023). [6] Z. Ye, = H. Hijazi, = M. Metzger et al. J. Electrochem. Soc. 171 110503 (2024). [7] A. Adamson, M. Metzger et al. J. Electrochem. Soc. 172 010527 (2025). 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 candidatesMéta-épidémiologie (sens strict)
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 enseignants0,052
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
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 Opus0,009
Tête enseignante GPT0,233
Écart entre enseignants0,223 · 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.

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
Publié2025
Routes d'admission1
Résumé présentoui

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