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SEI-forming electrolyte additives for lithium-ion batteries: development and benchmarking of computational approaches

SEI-forming additives play an important role in lithium-ion batteries, and the key to improving battery functionality is to determine if, how, and when these additives are reduced. Here, we tested a number of computational approaches and methods to determine the best way to predict and describe the...

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Autores principales: Jankowski, Piotr, Wieczorek, Władysław, Johansson, Patrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5155019/
https://www.ncbi.nlm.nih.gov/pubmed/27966017
http://dx.doi.org/10.1007/s00894-016-3180-0
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author Jankowski, Piotr
Wieczorek, Władysław
Johansson, Patrik
author_facet Jankowski, Piotr
Wieczorek, Władysław
Johansson, Patrik
author_sort Jankowski, Piotr
collection PubMed
description SEI-forming additives play an important role in lithium-ion batteries, and the key to improving battery functionality is to determine if, how, and when these additives are reduced. Here, we tested a number of computational approaches and methods to determine the best way to predict and describe the properties of the additives. A wide selection of factors were evaluated, including the influences of the solvent and lithium cation as well as the DFT functional and basis set used. An optimized computational methodology was employed to assess the usefulness of different descriptors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00894-016-3180-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-51550192016-12-27 SEI-forming electrolyte additives for lithium-ion batteries: development and benchmarking of computational approaches Jankowski, Piotr Wieczorek, Władysław Johansson, Patrik J Mol Model Original Paper SEI-forming additives play an important role in lithium-ion batteries, and the key to improving battery functionality is to determine if, how, and when these additives are reduced. Here, we tested a number of computational approaches and methods to determine the best way to predict and describe the properties of the additives. A wide selection of factors were evaluated, including the influences of the solvent and lithium cation as well as the DFT functional and basis set used. An optimized computational methodology was employed to assess the usefulness of different descriptors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00894-016-3180-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-12-13 2017 /pmc/articles/PMC5155019/ /pubmed/27966017 http://dx.doi.org/10.1007/s00894-016-3180-0 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Jankowski, Piotr
Wieczorek, Władysław
Johansson, Patrik
SEI-forming electrolyte additives for lithium-ion batteries: development and benchmarking of computational approaches
title SEI-forming electrolyte additives for lithium-ion batteries: development and benchmarking of computational approaches
title_full SEI-forming electrolyte additives for lithium-ion batteries: development and benchmarking of computational approaches
title_fullStr SEI-forming electrolyte additives for lithium-ion batteries: development and benchmarking of computational approaches
title_full_unstemmed SEI-forming electrolyte additives for lithium-ion batteries: development and benchmarking of computational approaches
title_short SEI-forming electrolyte additives for lithium-ion batteries: development and benchmarking of computational approaches
title_sort sei-forming electrolyte additives for lithium-ion batteries: development and benchmarking of computational approaches
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5155019/
https://www.ncbi.nlm.nih.gov/pubmed/27966017
http://dx.doi.org/10.1007/s00894-016-3180-0
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