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

Research output: Contribution to journalArticle

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

In: Nature Communications, Vol. 11, No. 1, 2079, 29.04.2020.

Research output: Contribution to journalArticle

Harvard

Lu, X, Bertei, A, Finegan, DP, Tan, C, Daemi, SR, Weaving, JS, O'Regan, KB, Heenan, TMM, Hinds, G, Kendrick, E, Brett, DJL & Shearing, PR 2020, '3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling', Nature Communications, vol. 11, no. 1, 2079. https://doi.org/10.1038/s41467-020-15811-x

APA

Lu, X., Bertei, A., Finegan, D. P., Tan, C., Daemi, S. R., Weaving, J. S., O'Regan, K. B., Heenan, T. M. M., Hinds, G., Kendrick, E., Brett, D. J. L., & Shearing, P. R. (2020). 3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling. Nature Communications, 11(1), [2079]. https://doi.org/10.1038/s41467-020-15811-x

Vancouver

Author

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. / 3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling. In: Nature Communications. 2020 ; Vol. 11, No. 1.

Bibtex

@article{54dfdb75418143878e6f9e8537f0fe25,
title = "3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling",
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.",
author = "Xuekun Lu and Antonio Bertei and Finegan, {Donal P} and Chun Tan and Daemi, {Sohrab R} and Weaving, {Julia S} and O'Regan, {Kieran B} and Heenan, {Thomas M M} and Gareth Hinds and Emma Kendrick and Brett, {Dan J L} and Shearing, {Paul R}",
year = "2020",
month = apr,
day = "29",
doi = "10.1038/s41467-020-15811-x",
language = "English",
volume = "11",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Springer",
number = "1",

}

RIS

TY - JOUR

T1 - 3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling

AU - Lu, Xuekun

AU - Bertei, Antonio

AU - Finegan, Donal P

AU - Tan, Chun

AU - Daemi, Sohrab R

AU - Weaving, Julia S

AU - O'Regan, Kieran B

AU - Heenan, Thomas M M

AU - Hinds, Gareth

AU - Kendrick, Emma

AU - Brett, Dan J L

AU - Shearing, Paul R

PY - 2020/4/29

Y1 - 2020/4/29

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85083986806&partnerID=8YFLogxK

U2 - 10.1038/s41467-020-15811-x

DO - 10.1038/s41467-020-15811-x

M3 - Article

C2 - 32350275

VL - 11

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 2079

ER -