Solution Based Methods for Fast Determination of Lithium Insertion/Extraction Kinetics
Notice bibliographique
Résumé
Arguably, the electric and hybrid electric vehicles are the new frontiers in lithium batteries. As a new market it is distinctly different from mass produced microelectronics, not only in the energy per battery unit but also in the power performance requirements. Especially the required charging rates during deceleration and emergency charging, as well as, the discharge rates during startup from standstill are exciting challenges.[1,2] Consequently new chemistries and new materials morphologies like nanowires, shape controlled nanoparticle and size/shape controlled meso-scale agglomerates are being developed at an impressive rate. [3,4] The standard methodology to characterize the rate performance of these new materials is to fabricate composite electrodes that combine the electroactive materials with a conductive matrix and polymer binder.[5] This porous electrode structure is filled with electrolyte and thus electron and electrolyte transfer paths to the active material is established (Figure:Left). This brings about an important question inherent to the composite electrode, i.e. is the electrochemical performance limited by the active material or by the transport of electrons and/or ions in the electrolyte filled electrode structure? In response to this type of question we developed a series of techniques that allow the study of the redox process kinetics without the use of composite electrodes.[6-8] The key to our methodology is that the electrons are delivered and retrieved not by a solid-solid contact to the active material, but via a solution based redox couple (Figure:Right). As such our techniques are similar to the common potential step electrochemical approach while providing two unique advantages: A) the complete surface of the active particle experiences the same electrochemical potential at all times. B) the flux of lithium ions to and from the particle is unobstructed. In turn, this allows the study of materials like transition metal phosphates and silicates without the conductive coating required in the standard electrochemical analysis. Consequently, and possibly for the first time, the effect of the coating and its fabrication process on the lithium insertion/extraction kinetics can be studied. Another advantage of electron transport via redox species is that nanoparticles can be studied without concerns that they due to their small nature have not been properly incorporated in the electrode matrix. In this presentation we will display the analytical techniques that we have developed over the electron transport via solution based redox species theme. This includes in situ and ex situ detection of the reaction progress, as well as, several different redox systems appropriate for different positive electrode materials. Importantly, we will show that sub-second time resolution is possible using a photometric technique and that this approach yields considerably faster results, compared to the procedure required to produce test batteries. Further the reaction uniformity throughout the sample provides new kinetic insight, which can help to distinguish between possible reaction mechanisms, thus providing better fundamental understanding of both new and existing redox chemistries. References. [1] Baisden, A.C., Emadi, A. (2004) IEEE Trans Veh Tech, 53, 199. [2] Zaghib, K., et al. (2013) Materials, 6, 1028. [3] Bi, Z., et al. (2013) RSC Adv, 3, 19744. [4] Bresser, D., et al. (2012) J Power Sources, 219, 217. [5] Park, M., et al. (2010) J Power Sources, 195, 7904. [6] Trinh, N.D., et al. (2012) J Power Sources, 200, 92. [7] Kuss, C., et al. (2013) Chem Sci, 4, 4223. [8] Lepage, D., et al. (2014) J Power Sources, DOI: 10.1016/j.jpowsour.2013.12.054. Figure: Left: Standard battery. Right: Electron transport via solution based redox species. Arrows indicate transport (white: Electron; gray: Lithium) to the active material particle in the center of the image.
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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 | 0,001 | 0,001 |
| 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.
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