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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| Vydáno v: | Nature communications Ročník 11; číslo 1; s. 2079 - 13 |
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| Hlavní autoři: | , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London
Nature Publishing Group UK
29.04.2020
Nature Publishing Group Nature Portfolio |
| Témata: | |
| ISSN: | 2041-1723, 2041-1723 |
| On-line přístup: | Získat plný text |
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| 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.
The 3D microstructure of the electrode predominantly determines the electrochemical performance of Li-ion batteries. Here, the authors show that the microstructural heterogeneities lead to non-uniform Li insertion and current distribution while graded-microstructures improve the performance. |
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| AbstractList | 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. 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. The 3D microstructure of the electrode predominantly determines the electrochemical performance of Li-ion batteries. Here, the authors show that the microstructural heterogeneities lead to non-uniform Li insertion and current distribution while graded-microstructures improve the performance. The 3D microstructure of the electrode predominantly determines the electrochemical performance of Li-ion batteries. Here, the authors show that the microstructural heterogeneities lead to non-uniform Li insertion and current distribution while graded-microstructures improve the performance. 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.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. 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.The 3D microstructure of the electrode predominantly determines the electrochemical performance of Li-ion batteries. Here, the authors show that the microstructural heterogeneities lead to non-uniform Li insertion and current distribution while graded-microstructures improve the performance. |
| ArticleNumber | 2079 |
| Author | Daemi, Sohrab R. O’Regan, Kieran B. Bertei, Antonio Lu, Xuekun Heenan, Thomas M. M. Shearing, Paul R. Finegan, Donal P. Hinds, Gareth Brett, Dan J. L. Kendrick, Emma Weaving, Julia S. Tan, Chun |
| Author_xml | – sequence: 1 givenname: Xuekun surname: Lu fullname: Lu, Xuekun organization: Electrochemical Innovation Lab, Department of Chemical Engineering, University College London, National Physical Laboratory, The Faraday Institution – sequence: 2 givenname: Antonio surname: Bertei fullname: Bertei, Antonio organization: Department of Civil and Industrial Engineering, University of Pisa – sequence: 3 givenname: Donal P. orcidid: 0000-0003-4633-560X surname: Finegan fullname: Finegan, Donal P. organization: National Renewable Energy Laboratory – sequence: 4 givenname: Chun orcidid: 0000-0002-0617-9887 surname: Tan fullname: Tan, Chun organization: Electrochemical Innovation Lab, Department of Chemical Engineering, University College London, The Faraday Institution – sequence: 5 givenname: Sohrab R. surname: Daemi fullname: Daemi, Sohrab R. organization: Electrochemical Innovation Lab, Department of Chemical Engineering, University College London – sequence: 6 givenname: Julia S. surname: Weaving fullname: Weaving, Julia S. organization: Electrochemical Innovation Lab, Department of Chemical Engineering, University College London – sequence: 7 givenname: Kieran B. orcidid: 0000-0002-5266-594X surname: O’Regan fullname: O’Regan, Kieran B. organization: The Faraday Institution, School of Metallurgy and Materials, University of Birmingham – sequence: 8 givenname: Thomas M. M. orcidid: 0000-0001-9912-4772 surname: Heenan fullname: Heenan, Thomas M. M. organization: Electrochemical Innovation Lab, Department of Chemical Engineering, University College London, The Faraday Institution – sequence: 9 givenname: Gareth surname: Hinds fullname: Hinds, Gareth organization: National Physical Laboratory – sequence: 10 givenname: Emma orcidid: 0000-0002-4219-964X surname: Kendrick fullname: Kendrick, Emma organization: The Faraday Institution, School of Metallurgy and Materials, University of Birmingham – sequence: 11 givenname: Dan J. L. surname: Brett fullname: Brett, Dan J. L. organization: Electrochemical Innovation Lab, Department of Chemical Engineering, University College London, The Faraday Institution – sequence: 12 givenname: Paul R. surname: Shearing fullname: Shearing, Paul R. email: p.shearing@ucl.ac.uk organization: Electrochemical Innovation Lab, Department of Chemical Engineering, University College London, The Faraday Institution |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32350275$$D View this record in MEDLINE/PubMed https://www.osti.gov/servlets/purl/1659982$$D View this record in Osti.gov |
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| ContentType | Journal Article |
| Copyright | The Author(s) 2020 The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Title | 3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling |
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