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Enregistrement W2304658813 · doi:10.1149/ma2016-03/2/716

Design Principles for Novel Ethylene Carbonate-Free Electrolytes for Li-Ion Batteries

2016· article· en· W2304658813 sur OpenAlexaffabout
Rémi Petibon, Jian Xia, Lina M. Rotermund, J. R. Dahn

Notice bibliographique

RevueECS Meeting Abstracts · 2016
Typearticle
Langueen
DomaineEngineering
ThématiqueAdvancements in Battery Materials
Établissements canadiensDalhousie University
Organismes subventionnairesnon disponible
Mots-clésElectrolyteEthylene carbonateCarbonatePassivationMaterials scienceDimethyl carbonatePropylene carbonateChemical engineeringElectrochemistryElectrodeInorganic chemistryChemistryNanotechnologyOrganic chemistryMethanolMetallurgy

Résumé

récupéré en direct d'OpenAlex

Introduction The current state of the art electrolytes for LiBs are based on alkyl carbonate mixtures containing ethylene carbonate (EC). However, this base electrolyte limits the temperature window as well as the potential window of operation of LiBs. Designing new EC-free solvents is not always straightforward since most solvents that have low freezing point or high oxidation stability do not provide a good passivation at the graphite electrode without the presence of EC. Over the past few years, we have designed new electrolyte systems that can operate over a wide temperature window or over a wide potential window. This talk will present two main routes for the design of new EC-free electrolyte systems. This will hopefully help the scientific community in designing new electrolyte systems that will meet the needs of advanced LiBs. Discussion Designing new electrolytes compatible with graphite-based negative electrodes can be achieved using two main routes. The first route consists of using small amounts of passivating additives such as vinylene carbonate (VC) or fluoroethylene carbonate (FEC) in combination with solvents having good properties such as low melting point or high oxidation potential. The amount of these passivating additives must be small since they often impart high impedance or high gas evolution during high voltage and/or high temperature cycling. Using this method, three new electrolyte systems were developed. These consist of Ester:VC blends [1], Sulfolane:linear carbonate:VC blends [2], as well as FEC:ditrifluoroethylcarbonate (TFEC) blends. Figure 1a shows that electrolyte blends consisting of 1M LiPF6 methyl propanoate:VC have similar capacity retention to 1M LiPF6 EC:EMC (3:7) + 2% VC electrolyte in a full cell configuration (220 mAh Li[Ni1/3Mn1/3Co1/3]O2/graphite pouch cell) when cycled at 40°C between 2.8 V and 4.2 V. This is surprising since electrolytes containing esters undergo heavy reduction at the graphite surface without the formation of a passivating layer [1]. Figure 1b also shows that this ester-based electrolyte provides superior low-temperature rate performance to EC-based electrolytes. This shows that using small amounts of passivating additives can allow the use of atypical solvents such as esters, without the use of EC. Similarly, Figure 2 shows that sulfolane-based electrolytes and fluorinated solvent-based electrolytes provide superior capacity retention to 220 mAh Li[Ni0.4Mn0.4Co0.2]O2/graphite pouch cells operated to high voltage (4.5 V) and relatively high temperature (40°C). Once again, the use of VC or FEC allows the use of solvents with high oxidation potential such as sulfolane or fluorinated carbonates. The second route for the design of EC-free electrolytes is the use of the peculiar properties of highly concentrated (3 – 5M) electrolytes. Yamada et al. [3] and Jeong et al. [6] showed that high salt concentration allows for a large array of solvents to be stable against lithiated graphite. Following the same method an ester-based and additive-free electrolyte, kinetically stable against lithiated graphite and high potential, (4.78 V) was developed [7,8]. Figure 3a shows that electrolytes composed of EA:LiFSi:LiPF6 (1:0.5:0.05, molar ratio) provide better capacity retention in Li[Ni1/3Mn1/3Co1/3]O2/graphite pouch cells than EC-based electrolyte containing VC when cycled up to 4.4 V. Figure 3b also shows that these highly concentrated electrolytes provide reasonable capacity retention in Li[Ni0.4Mn0.4Co0.2]O2/graphite pouch cells cycled up to 4.7 V and 40°C. Conclusion Following two simple design principles, a large array of new electrolyte systems can be developed. These two principles consist of the use of small amounts of passivating additives such as FEC or VC, or the peculiar effect of high salt concentration. These two simple principles allow the use of atypical solvents that are normally not used due to their instability against lithiated graphite. The design of new EC-free electrolyte systems can play a crucial role in developing advanced Li-ion batteries. Acknowledgments The authors would like to thank 3M Canada and NSERC for the funding of this work. The authors thank Dr. Jing Li of BASF for providing some of the solvents, salts and additives used in his work. The authors also thank Xiodong Cao of HSC Corporation for providing LiFSI. Remi Petibon thanks NSERC and the Walter C. Sumner Foundation for Scholarship support. References [1] R. Petibon et al., Electrochimica Acta 154 (2015) 227–234. [2] J. Xia et al., J. Electrochem. Soc. 162 (2015) A1424–A1431. [3] Y. Yamada et al., J. Am. Chem. Soc. 136 (2014) 5039–5046. [6] S.-K. Jeong et al., Electrochem. Solid-State Lett. 6 (2003) A13–A15. [7] R. Petibon et al., Electrochimica Acta 154 (2015) 287–293. [8] R. Petibon et al., J.R. Dahn, Electrochimica Acta 174 (2015) 417. 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)0,000
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: aucune
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,002

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 Opus0,035
Tête enseignante GPT0,252
Écart entre enseignants0,216 · 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
Publié2016
Routes d'admission2
Résumé présentoui

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