MétaCan
Menu
← Retour à la cohorte
Enregistrement W3034294738 · doi:10.11575/prism/37732

Microstructured Materials for Lithium-ion Batteries

2020· dissertation· en· W3034294738 sur OpenAlexfundno aff
Umer Farooq

Notice bibliographique

RevuePRISM (University of Calgary) · 2020
Typedissertation
Langueen
DomaineEngineering
ThématiqueAdvancements in Battery Materials
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaFord Motor Company
Mots-clésLithium (medication)Materials scienceIonNanotechnologyChemistryMedicineInternal medicineOrganic chemistry

Résumé

récupéré en direct d'OpenAlex

Energy storage technology plays a vital role in a renewable energy harvesting system by providing the capability to remain functional during the intermittence periods. The long developmental and research phase which lithium-ion batteries (LIBs) batteries have undergone has made them one of the most prominent and promising energy storage technologies. Their high energy and power density, low cost, environmental benignity and excellent cyclic stability make them more attractive than competing energy storage technologies. Extensive efforts have been deployed on the synthesis of electrode and electrolyte materials for LIBs to increase their charge storage capacity and safety without affecting the cyclic stability. Among various electrode materials for LIBs, nanostructured metal-oxides have gained substantial attention as anodes due to their stable battery cycling. The high C-rate capacities of these electrode materials are attributed to the interesting conversion reactions of lithium ions (Li). Titanium dioxide (TiO2), among all the metal oxides, has shown great potential as a negative electrode material for LIBs in particular. Over the years, numerous methods have been adopted to enhance the electrochemical performance by bringing innovation TiO2 design; however, the low electronic conductivity remains a major challenge in achieving the best performance. In the first part of this PhD work, novel electrode architectures for TiO2 have been developed by preparing TiO2-graphene nanocomposite. The as-prepared material has exploited the unique electronic and mechanical characteristics of nanostructures to develop robust electrodes that improved electronic conductivity, electrochemical charge transfer and the storage capacity at high current densities. The TiO2-rGO nanocomposite delivered a capacity of ~ 250 mAh g1 at 0.2 C and exhibited superior rate capability performance with remarkably stable cycle life at high C-rates up to 20 C during the Li+ insertion/extraction process. To explore the further opportunities along the electrode side, silicon (Si) was investigated as an anode material for LIBs. Si can deliver a high theoretical capacity as an anode material; however, volume change during the alloying/dealloying reaction with Li limits its utilization in a practical battery. In this work, a unique structure comprised of Si cross-linked with hierarchical porous carbon spheres was demonstrated as a stable Li+ host to address the challenge of swelling and mechanical fracture in Si electrode. The high surface area with well-defined pore size distribution and fully exposed active sites not only defied the limitation of low Li+ storage but also facilitated the mobility of Li+ during alloying/dealloying, resulting in stable redox activity during battery cycling. Upon electrochemical response investigation, the as-prepared composite material delivered a stable and high discharge capacity (ca. 1200 mAh g1) even after 400 cycles with a relatively high columbic efficiency (> 99%) when tested with an alginate-assisted binder. This highly stable performance could be attributed to the lower volume change and enhanced conductivity of composite material. In contrast to the electrode section, safety of the LIBs has been identified as one of the major concerns in field of battery research that mainly arises from electrolytes. Unprecedented interest in solid-state Li-ion batteries (SSLIBs) for automotive applications has stimulated extensive research on solid-state electrolytes (SSE). A part of this dissertation was dedicated to the development of flexible ceramic-polymer composite electrolyte. In order to characterize the desired SSE, lithium stuffed garnet material, Li6.5La2.5Ba0.5TaZrO12 (LLBTZO) was synthesized via a solid-state method. To analyze the effect of sintering temperature on the microstructure and transport properties of as-prepared SSE, various physical and electrochemical studies were carried out to confirm the crystal structure, explore the morphological properties and electrochemical performance of the SSE material. Increasing the sintering temperature of this compound from 1100 to 1200 °C led to a more than a 60-fold increase in the ionic conductivity (at 26 °C) from 1.07 x 10-6 to 6.62 x 10-5 S cm-1, which can be attributed to the evolution of the microstructures of the SSE. Since these garnet-type materials are brittle and prone to cracking, it is not viable to use them in a practical battery directly. To obtain the mechanical properties desirable in a practical battery, ceramic-polymer based composites were developed using a track-etched polycarbonate (TEPC) to provide some form of flexibility. The LLBTZO particles were infiltrated in a TEPC membrane to make a composite. During the sintering process, the TEPC was decomposed to grow free-standing pillars having an approximate length and diameter of ~ 25 µm and 10 µm respectively. Further research is needed to select favorable polymers which could be adopted to fill the voids between the pillars to provide integrity and flexibility subsequently for its final integration in a working battery.

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 enseignants0,009
Score d'incertitude au seuil0,029

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0090,005

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 Opus0,008
Tête enseignante GPT0,204
Écart entre enseignants0,196 · 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

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revuePRISM (University of Calgary)→Même sujetAdvancements in Battery Materials→Travaux en français237 207→