3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling

Driving range and fast charge capability of electric vehicles are heavily dependent on the 3D microstructure of lithium-ion batteries (LiBs) and substantial fundamental research is required to optimise electrode design for specific operating conditions. Here we have developed a full microstructure-r...

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Veröffentlicht in:	Nature communications Jg. 11; H. 1; S. 2079 - 13
Hauptverfasser:	Lu, Xuekun, Bertei, Antonio, Finegan, Donal P., Tan, Chun, Daemi, Sohrab R., Weaving, Julia S., O’Regan, Kieran B., Heenan, Thomas M. M., Hinds, Gareth, Kendrick, Emma, Brett, Dan J. L., Shearing, Paul R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 29.04.2020 Nature Publishing Group Nature Portfolio
Schlagworte:	119/118 639/166/898 639/301/930/2735 639/4077/4079/891 ADVANCED PROPULSION SYSTEMS Calendering computational modeling computational modelling Computed tomography Current distribution Design optimization Electric vehicles Electrochemical analysis Electrochemistry electrode design Electrodes heterogeneity Humanities and Social Sciences Ion transport Lithium Lithium-ion batteries Microstructure multidisciplinary NMC microstructure Particle size distribution Performance enhancement Porosity Rechargeable batteries Science Science (multidisciplinary) Size distribution solid-state diffusion Superposition (mathematics) Three dimensional models Tortuosity X-ray computed tomography
ISSN:	2041-1723, 2041-1723
Online-Zugang:	Volltext
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