EconPapers    
Economics at your fingertips  
 

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

Xuekun Lu, Antonio Bertei, Donal P. Finegan, Chun Tan, Sohrab R. Daemi, Julia S. Weaving, Kieran B. O’Regan, Thomas M. M. Heenan, Gareth Hinds, Emma Kendrick, Dan J. L. Brett and Paul R. Shearing ()
Additional contact information
Xuekun Lu: University College London
Antonio Bertei: University of Pisa
Donal P. Finegan: National Renewable Energy Laboratory
Chun Tan: University College London
Sohrab R. Daemi: University College London
Julia S. Weaving: University College London
Kieran B. O’Regan: The Faraday Institution
Thomas M. M. Heenan: University College London
Gareth Hinds: National Physical Laboratory
Emma Kendrick: The Faraday Institution
Dan J. L. Brett: University College London
Paul R. Shearing: University College London

Nature Communications, 2020, vol. 11, issue 1, 1-13

Abstract: Abstract 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-resolved 3D model using a novel X-ray nano-computed tomography (CT) dual-scan superimposition technique that captures features of the carbon-binder domain. This elucidates how LiB performance is markedly affected by microstructural heterogeneities, particularly under high rate conditions. The elongated shape and wide size distribution of the active particles not only affect the lithium-ion transport but also lead to a heterogeneous current distribution and non-uniform lithiation between particles and along the through-thickness direction. Building on these insights, we propose and compare potential graded-microstructure designs for next-generation battery electrodes. To guide manufacturing of electrode architectures, in-situ X-ray CT is shown to reliably reveal the porosity and tortuosity changes with incremental calendering steps.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.nature.com/articles/s41467-020-15811-x Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15811-x

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-020-15811-x

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15811-x