A Film Maturation Process for Improving the Cycle Life of Calendered Silicon Negative Electrodes
Notice bibliographique
Résumé
Increasing the energy density of Li-ion batteries (LiB) is a key issue. A promising approach is to replace graphite in LIB anodes with silicon. The main challenge is to deal with the large silicon volume expansion induced by its lithiation, which damages the mechanical integrity (electronic network) of the electrode, and produces an unstable solid electrolyte interphase (SEI). We have successfully improved the performance of silicon based anodes by working on various aspects. First, our ball-milled silicon offers the right nanostructure to limit Si particle cracking in addition to be produced using an industrially viable process [1]. Second, the use of a mixture of carboxymethylcellulose (CMC) and citric acid (CA) as binder system buffer favors the formation of strong bonds between the binder and the Si particles [2] and a protective layer on the Si nanoparticles that significantly decreases electrolyte reduction [3]. Lastly, the use of carbon nanoplatelets as conductive additive insures better ability of the electrode architecture to reversibly expand/contract upon cycling [4]. In this communication, we would like to present a postprocessing treatment (called maturation) that we have recently developed. Indeed, maturation very significantly improves the mechanical and electrochemical stabilities of silicon electrodes made with the CMC/CA binder [5]. This treatment consists of storing the electrode in a humid atmosphere for a few days before drying and cell assembly. This results in a beneficial in situ reactive modification of the interfaces within the electrode. Our investigations suggest that the binder tends to concentrate at the silicon interparticle contacts. As a result, the cohesion of the composite film is strengthened. Moreover, the corrosion of the copper current collector, inducing the formation of copper carboxylate bonds, improves the adhesion of the composite film. This results in an impressive improvement of the electrode cycle life. The calendering of Si-based electrodes is required to obtain a substantial gain in their volumetric capacity compared to conventional graphite electrode. However, the calendering of silicon/carbon nanoplatelets/CMC/CA electrodes induces a major decrease of their cycling stability. This can be attributed to the rupture of the particle-binder bridges during the calendering, lowering the mechanical strength of the electrode. Interestingly, we found that these cohesive bonds can be restored through the maturation treatment. From in-operando dilatometric experiments, it appears that the volumetric expansion is lower and more reversible than for a standard (not-calendered, not-matured) electrode. As a result, a remarkable improvement of the cycle life is observed [6]. Finally, we found that the maturation process is also efficient for silicon electrodes made with the polyacrylic acid (PAA) binder [7]. Acknowledgements The authors thank the Natural Sciences and Engineering Research Council of Canada (NSERC) (grant RGPIN-2016-04524) and Transition Énergétique Québec (TEQ) (grant Techno-0040-0001) for financial support of this work. References [1] M. Gauthier et al., “A low-cost and high-performance Si-based negative electrode for Li-ion batteries”, Energy Environ. Sci., 2013, 6, 2145-2155. [2] D. Mazouzi et al., “Silicon Composite Electrode with High Capacity and Long Cycle Life”, Electrochem. Solid-State Lett., 2009, 12, A215-A218. [3] C.C. Nguyen et al., “Improved Cycling Performance of a Si Nanoparticle Anode Utilizing Citric Acid as a Surface-Modifying Agent”, Langmuir, 2017, 33, 9254–9261. [4] Z. Karkar et al., “Threshold-like dependence of silicon-based electrode performance on active mass loading and nature of carbon conductive additive”, Electrochimica Acta, 2016, 215, 276-288. [5] C. Real Hernandez et al., “A Facile and Very Effective Method to Enhance the Mechanical Strength and the Cyclability of Si-Based Electrodes for Li-Ion Batteries”, Adv. Energy Mater, 2017, 1701787. [6] Z. Karkar et al., “How silicon electrodes can be calendered without altering their mechanical strength and cycle life”, J. Power Sources, 2017, 371, 136-147. [7] Z. Karkar et al., “A comparative study of polyacrylic acid (PAA) and carboxymethyl cellulose (CMC) binders for Si-based electrodes”, accepted for publication in Electrochimica Acta.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».