Interfacial Impedance Growth in Si-Alloy/Graphite Blended Electrodes
Notice bibliographique
Résumé
Active material blended electrodes are comprised of physical mixtures of two or more lithium insertion compounds. Blended electrodes can have superior balanced performance compared to electrodes with an individual active compound. 1 For instance, Si and Si-based materials have been successfully blended into graphite electrodes in lithium-ion batteries. 2,3 Si-alloy/graphite blended electrodes result in higher cell energy density than graphite electrodes and pure Si-alloy electrodes and also have higher capacity retention than pure Si-alloy electrodes. 3 Some properties of active material blended electrodes are difficult to predict simply from the individual active materials, such as cell lifetime. 4 Electrochemical impedance spectroscopy (EIS) provides diagnostic information concerning the state of health of electrodes and properties of the solid-electrolyte interphase (SEI). 5 The electrode/electrolyte interfacial impedance growth of Si-alloy/graphite electrodes will be discussed here. Figure 1 (a-c) shows measured Nyquist plots of graphite, Si-alloy, and graphite/Si-alloy blended electrodes at different cycles. The interfacial resistance (R ir ) is highest for the graphite and Si-alloy electrodes and is lowest for the graphite/Si blended alloy electrode. Changes in R ir for these electrodes are not monotonic and do not at first seem related. The trends in R ir as a function of cycle number for these electrodes are summarized in Figure 1 (d), where the R ir data were normalized with respect to the first cycle. After normalization relationships between the coatings appear. For all three electrodes, R ir increases from the 1 st cycle to the 5 th cycle and then decreases from cycle 5 to 10. After 10 cycles, R ir increases for graphite electrodes, while Si-alloy and the blended electrodes have a constant R ir . The relative R ir values of the graphite/Si-alloy blended electrodes have very similar behavior to the pure Si-alloy electrode. Therefore, it appears that the Si-alloy component is dominant with regard to the behavior of R ir . To verify this, the relative R ir at the 20th cycle of electrodes with various ratios of Si-alloy/graphite blended electrodes are shown in Figure 2 . All blended electrodes have relative R ir values that are different from pure graphite, but have similar relative R ir values to pure Si-alloy electrodes, regardless of the graphite content. In this presentation, an explanation of this behavior in the interfacial resistance of graphite/alloy blended electrodes will be proposed. Reference S. B. Chikkannanavar, D. M. Bernardi, and L. Liu, J. Power Sources , 248 , 91–100 (2014). R. Petibon et al., J. Electrochem. Soc. , 163 , A1146–A1156 (2016). V. L. Chevrier et al., J. Electrochem. Soc. , 161 , A783–A791 (2014). H. Kitao, T. Fujihara, K. Takeda, N. Nakanishi, and T. Nohma, Electrochem. Solid-State Lett. , 8 , A87 (2005). M. Galeotti, L. Cinà, C. Giammanco, S. Cordiner, and A. Di Carlo, Energy , 89 , 678–686 (2015). Figure 1 Nyquist plots for (a) graphite, (b) Si-alloy, and (c) Si-alloy/graphite (60:28 wt/wt) blended electrodes measured at different cycles. (d) the relative interfaical resistance vs. cycle number of these three electrodes. Relative interfaical resistance values were measured as the diameter of the semicircles in the Nyquist plots, normalized on the basis of first cycle interfacial resistance. The error bars were calculated as the range of two samples. The cells were cycled at 30.0 ± 0.1 ºC and EIS spectra were measured at 10 ºC. Figure 2 The relative interfaical resistances of graphite/Si-alloy blended electrodes with various compositions, measured at 20 th cycle. The error bars were calculated as the range of two samples.The cells were cycled at 30.0 ± 0.1 ºC and EIS spectra were measured at 10 ºC. Figure 1
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».