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Enregistrement W2519750949 · doi:10.1149/ma2016-02/3/236

Consumption of Intentionally Added Gas in Lithium-Ion Cells

2016· article· en· W2519750949 sur OpenAlexaff
L. D. Ellis, J. R. Dahn

Notice bibliographique

RevueECS Meeting Abstracts · 2016
Typearticle
Langueen
DomaineEngineering
ThématiqueAdvanced Battery Technologies Research
Établissements canadiensDalhousie University
Organismes subventionnairesnon disponible
Mots-clésElectrolyteLithium (medication)ElectrodeIonGraphiteChemistryChemical engineeringInorganic chemistryMaterials scienceOrganic chemistry

Résumé

récupéré en direct d'OpenAlex

Introduction Lithium-ion cells produce a considerable amount of gas during their first cycle, as electrolyte solvents react with the surface of the charging electrodes to form passivating films. In cells without electrolyte additives, this gas is largely a mixture of CO2 and C2H4. [1] If lithium-ion cells are packaged in flexible bags (commonly termed “pouch” cells), these gases must be removed by the manufacturer in a degassing step, to prevent deformation of the cell and ensure stack pressue on the electrodes. If the degassing step is omitted, as in the case of cells packaged in metal cans, some amount of these gases are consumed by the cell over time. The reaction that consumes gas, and the effects of gas consumption on cell performance are not fully understood. It has been suggested that consumption of CO2 gas in lithium-ion cells causes reversible self-discharge through a “chemical dialogue” between negative and positive electrodes: CO2 is reduced at the lithiated negative electrode to form lithium oxalate, which diffuses to the positive electrode and is oxidized to reform CO2. [2 ] To reveal the presence of a chemical dialogue, and determine the fate CO2 and C2H4 inside cells, the reaction of these gases with individual charged electrodes will be discussed. Experimental Machine-made lithium-ion pouch cells, containing Li[Ni0.4Mn0.4Co0.2]O2 (NMC442) positive electrodes and graphite negative electrodes, were obtained sealed, without electrolyte from LiFun Technologies (Zuzhou City, China). The cells were filled with a slight excess of electrolyte, composed of 1 M LiPF6, dissolved in a 3:7 wt blend of ethylene carbonate and ethyl methyl carbonate. The cells were charged to 4.5 V, at a rate of C/20 at 40°C. Several of of the cells were transferred to an Ar-filled glove box, where the charged electrodes were removed from the cell and sealed individually in aluminized polymer bags, made from the same material as the casing of the parent pouch cell. Each of these bags was equipped with a rubber septum, through which gases were injected. After injection, the bags were vacuum sealed below the septum and the septum was cut off. The inflated bags were stored at 40°C, in a similar manner to charged full cells which were not disassembled, and which were left at open-circuit voltage. The changes in volume of the charged cells and the inflated bags were measured at regular intervals, using Archimedes’ principle. Results and Discussion Figure 1 shows the voltage and volume change of a cell during its first charge cycle (formation cycle), followed by 100 hours of open-circuit voltage storage at 40°C, during which time over 0.5 mL of gas was consumed. Figure 2 shows the volume change versus time for pouch bags inflated with CO2, containing lithiated graphite negative electrodes or charged NMC442 positive electrodes, stored at 40°C. The volume of the bags containing lithiated graphite negative electrodes decreased steadily with time, indicating that CO2 was consumed by the lithiated graphite negative electrode. The volume of the bags containing charged NMC442 positive electrodes remained constant after equilibration at 40°C, indicating that CO2 was not consumed by the positive electrode. The amount of gas consumed by the full cell over 100 hours, shown by Figure 1, is approximately equal to the amount of CO2consumed by the lithated graphite electrode, shown by Figure 2. The consumption of gas in lithium-ion cells and the effect of gas consumption on the surface chemistry of electrodes will be discussed further. References: 1. J. Self, C. P. Aiken, R. Petibon, and J. R. Dahn, J. Electrochem. Soc., 162, A796–A802 (2015). 2. S. E. Sloop, J. B. Kerr, and K. Kinoshita, J. Power Sources, 119–121, 330–337 (2003). 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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,001
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,022
Tête enseignante GPT0,261
Écart entre enseignants0,239 · 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 source (Gemma direct ou Codex distillé), 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

Citations2
Publié2016
Routes d'admission1
Résumé présentoui

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