Controlling Binder Adhesion to Impact Electrode Mesostructures and Transport.

Li-ion battery adhesion carbon binder domain cohesion colloidal dynamics effective transport properties granular materials mesoscale electrode modeling

Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
05 Aug 2020
Historique:
pubmed: 3 7 2020
medline: 3 7 2020
entrez: 3 7 2020
Statut: ppublish

Résumé

The complex three-phase composition of lithium-ion battery electrodes, containing an ion-conducting pore phase, a nanoporous electron-conducting carbon binder domain (CBD) phase, and an active material (AM) phase, provides several avenues of mesostructural engineering to enhance battery performance. We demonstrate a promising strategy for engineering electrode mesostructures by controlling the strength of adhesion between the AM and CBD phases. Using high-fidelity, physics-based colloidal and granular dynamics simulations, we predict that this strategy can provide significant control over electrochemical transport-relevant properties such as ionic conductivity, electronic conductivity, and available AM-electrolyte interface area. Importantly, the proposed strategy could be experimentally realized through surface functionalization of the AM and CBD phases and would be compatible with traditional electrode manufacturing methods.

Identifiants

pubmed: 32613823
doi: 10.1021/acsami.0c08251
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

34919-34930

Auteurs

Ishan Srivastava (I)

Sandia National Laboratories, Albuquerque, New Mexico 87185, United States.

Dan S Bolintineanu (DS)

Sandia National Laboratories, Albuquerque, New Mexico 87185, United States.

Jeremy B Lechman (JB)

Sandia National Laboratories, Albuquerque, New Mexico 87185, United States.

Scott A Roberts (SA)

Sandia National Laboratories, Albuquerque, New Mexico 87185, United States.

Classifications MeSH