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Enregistrement W2346079952 · doi:10.1149/ma2015-03/2/457

Studies of the Effect of High Voltage on the Impedance and Cycling Performance of Li[Ni<sub>0.4</sub>Mn<sub>0.4</sub>Co<sub>0.2</sub>]O<sub>2</sub>/Graphite Lithium-Ion Pouch Cells

2015· article· en· W2346079952 sur OpenAlexaff
K. J. Nelson, J. R. Dahn

Notice bibliographique

RevueECS Meeting Abstracts · 2015
Typearticle
Langueen
DomaineEngineering
ThématiqueAdvancements in Battery Materials
Établissements canadiensDalhousie University
Organismes subventionnairesnon disponible
Mots-clésElectrolyteGraphiteDielectric spectroscopyLithium (medication)Materials scienceIonElectrochemistryCyclingAnalytical Chemistry (journal)Chemical engineeringChemistryElectrodeComposite materialChromatography

Résumé

récupéré en direct d'OpenAlex

Introduction Electrolyte additives are the most effective way to improve the calendar life and cycling performance of lithium-ion batteries. Vinylene carbonate (VC) is perhaps the most famous and widely used additive and has been shown to improve cycle and calendar life of Li-ion cells [1]. VC is less effective, however, when used in cells cycling to potentials above 4.2 V [2] or at elevated temperatures [3]. Sulfur-containing additives have recently been investigated by several research groups in the hopes of overcoming the temperature sensitivity of VC and extending the usable voltage range of Li-ion cells [4-6]. LiCoO2/graphite cells with upper cutoff potentials of 4.4 V are now common in the marketplace, but Li[Ni0.4Mn0.4Co0.2]O2 (NMC442)/graphite cells that can be charged to 4.4 V are not, since NMC/graphite cells normally do not function well when charged to high potential. One possible factor leading to severe capacity fade in NMC cells, particularly when charged to high potential, is large impedance growth. It is therefore important and valuable to measure cell impedance as a function of cycle number, time, and voltage. Experimental NMC442/graphite pouch cells containing various electrolyte additives, either singly or in combination, were studied using cycling experiments up to 4.4 and 4.5 V coupled with simultaneous electrochemical impedance spectroscopy (EIS) measurements using a frequency response analyzer (FRA). The impacts of adding prop-1-ene-1,3-sultone (PES), VC, triallyl phosphate (TAP), methylene methane disulfonate (MMDS), ethylene sulfate (DTD) and/or tris(-trimethyl-silyl)-phosphite (TTSPi) to 1M LiPF6 ethylene carbonate:ethyl methyl carbonate (EC:EMC) electrolyte were studied. The additive combination 2% PES + 1% MMDS + 1% TTSPi, named PES211, is highlighted. Results Cells underwent either continuous charge-discharge cycling or charge-hold-discharge cycling in which the cells were held at either 4.4 or 4.5 V for 20 hours. The FRA measured cell impedance every 0.1 V of one cycle during regular intervals. Figure 1 shows a comparison of the discharge capacity (top panels) and Rct, a combination of the charge transfer resistances from both the positive and negative electrodes as well as resistance due to the motion of ions through the SEI layers at both the positive and negative electrodes, as a function of voltage (bottom panels) for NMC442/graphite cells containing PES211. Figure 1a shows the discharge capacity as a function of cycle number for cells containing PES211 undergoing continuous cycling and cycling with a 24 hr hold at 4.4 V. Despite the excellent capacity retention of the PES211–containing cell during continuous cycling, the hold at high voltage leads to severe discharge capacity fade. This effect is also seen in Figure 1b, which shows the discharge capacity as a function of time. Figure 1c shows Rct as a function of voltage for the PES211–containing cell undergoing charge-hold-discharge cycling. This cell exhibited severe impedance growth over 50 cycles (~1700 hours). Interestingly, the impedance was reversible over one cycle, while the impedance was irreversible over several cycles. Figure 1d shows Rct as a function of voltage for the PES211–containing cell undergoing continuous cycling. This cell had very low impedance at all voltages and all 285 cycles (~3000 hours). Figure 1 dramatically demonstrates that holding NMC442/graphite cells at high potentials for extended periods (as might be expected in real-life charging situations in portable electronics, for example) leads to severe impedance growth issues, at least with PES211 electrolyte, which might be overcome through the use of better additive combinations. The importance of performing experiments representative of “real-life” Li-ion cell use is demonstrated. Practical applications that use Li-on batteries often leave the cells at high voltages for extended periods of time after charging. Therefore, studying the effect of extended periods of time at high voltage on the performance and impedance growth of Li-ion cells is imperative. References [1] M. Broussely, P. Biensan, F. Bonhomme, P. Blanchard, S. Herreyre, K. Nechev, and R.J. Staniewicz, J. Power Sources, 146, 90–96 (2005). [2] J. Jeon, S. Yoon, T. Park, J.-J. Cho, S. Kang, Y.-K. Han, and H. Lee, J.Mater.Chem., 22, 21003 (2012). [3] H. M. Jung, S.-H. Park, J. Jeon, Y. Choi, S. Yoon, J.-J. Cho, S. Oh, S. Kang, Y.-K. Han, and H. Lee, J. Mater.Chem.A, 1, 11975 (2013). [4] J. Xia, N. N. Sinha, L. P. Chen, G. Y. Kim, D.J. Xiong, and J. R. Dahn, J.Electrochem. Soc., 161, A84–A88 (2013). [5] B. Li, M. Xu, B. Li, Y. Liu, L. Yang, W. Li, and S. Hu, Electrochim.Acta, 105, 1–6 (2013). [6] B. Li, Y. Wang, H. Rong, Y. Wang, J. Liu, L. Xing, M. Xu, and W. Li, J.Mater.Chem.A, 1, 12954 (2013). 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 enseignants0,002
Score d'incertitude au seuil0,005

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 technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,014
Tête enseignante GPT0,237
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 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

Citations1
Publié2015
Routes d'admission1
Résumé présentoui

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