<i>(Invited)</i> Advanced Alloy Anodes for High Energy Density Sodium-Ion Cells
Notice bibliographique
Résumé
Worldwide efforts to develop sodium-ion batteries have accelerated in recent years. There are several companies that are developing sodium-ion batteries, including CATL, HiNa, LiFUN, Natron, Tiamat, Faradion, and UNIGRID. Commercial sodium-ion cells are available at this time, but their energy density may not be sufficient for practical application. Now it is necessary to create sodium-ion cells with a volumetric energy density greater than that of LFP/graphite cells. The volumetric capacity of typical sodium-ion battery negative electrodes like hard carbon is limited to less than 450 mAh/cm 3 . Alloy-based negative electrodes such as phosphorus (P), tin (Sn), and lead (Pb) more than double the volumetric capacity of hard carbon, all having a theoretical volumetric capacity above 1,000 mAh/cm 3 in the fully sodiated state. [1] These alloy materials have massive volume expansion, with P expanding by almost 300% and both Sn and Pb expanding to about 400% of their initial volumes when fully sodiated. We will show that Sn and Pb have excellent half-cell cycling performance despite this large volume change, including high Coulometric efficiency. [2, 3] Pb experiences 387% volume expansion upon full sodiation, which leads to significant changes in the electrode morphology. We will track the morphology of Pb and Pb-hard carbon blended electrodes using SEM imaging. As well, each Na-Pb phase will be examined to analyze their physical properties. These analyses will show that the Pb particles restructure into ~1 µm particles (see Figure 1), even after just a single cycle, and surprisingly do not pulverize the hard carbon in a blended electrode. Single-walled carbon nanotubes appear to be necessary to maintain active material electrical connection. [4] Furthermore, we will show how to improve the formulation of the Pb negative electrode and evaluate capacity retention in half- and full-cell configurations, while investigating the potential degradation mechanisms. The impact of oxide impurities on the cycling stability of Pb negative electrodes will be studied using a controlled heat treatment procedure. The irreversible formation of Na 2 O, a side product of the sodiation reaction of Pb oxide, results in sodium inventory loss, decreased first cycle efficiency, and a detrimental impact on the cell’s long-term cyclability. [5] Additionally, the thermal stability of fully sodiated Pb in the presence of ether-based electrolyte will be investigated. The results suggest that Pb not only provides an energy density advantage, but is also marginally more stable at elevated temperatures compared to hard carbon under the same testing conditions. Overall, we aim to provide valuable insights into the cyclability, degradation mechanisms and thermal stability of Pb, offering useful guidance for its future commercialization and deployment in sodium-ion batteries. [6] References [1] V. Chevrier and G. Ceder J. Electrochem. Soc. 158 (2011). [2] T. R. Jow and L. W. Shacklette J. Electrochem. Soc. 136 1 (1989). [3] M. Garayt, = L. Zhang, = Y. Zhang, = M. Obialor = et al. J. Electrochem. Soc. 171 070523 (2024). [4] M. Garayt et al. J. Electrochem. Soc. 171 120521 (2024). [5] M. Obialor et al. submitted (2025). [6] M. Obialor et al. manuscript in preparation (2025). Figure 1. SEM images of an ion-mill cross-section of a pristine Pb electrode (a) and desodiated Pb electrode after 106 cycles (b). Figure 1
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,026 | 0,013 |
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 ».