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Modelling and Optimisation of Laser-Structured Battery Electrodes

An electrochemical multi-scale model framework for the simulation of arbitrarily three-dimensional structured electrodes for lithium-ion batteries is presented. For the parameterisation, the electrodes are structured via laser ablation, and the model is fit to four different, experimentally electroc...

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Autores principales: Schweighofer, Lukas, Eschelmüller, Bernd, Fröhlich, Katja, Pfleging, Wilhelm, Pichler, Franz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105354/
https://www.ncbi.nlm.nih.gov/pubmed/35564283
http://dx.doi.org/10.3390/nano12091574
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author Schweighofer, Lukas
Eschelmüller, Bernd
Fröhlich, Katja
Pfleging, Wilhelm
Pichler, Franz
author_facet Schweighofer, Lukas
Eschelmüller, Bernd
Fröhlich, Katja
Pfleging, Wilhelm
Pichler, Franz
author_sort Schweighofer, Lukas
collection PubMed
description An electrochemical multi-scale model framework for the simulation of arbitrarily three-dimensional structured electrodes for lithium-ion batteries is presented. For the parameterisation, the electrodes are structured via laser ablation, and the model is fit to four different, experimentally electrochemically tested cells. The parameterised model is used to optimise the parameters of three different pattern designs, namely linear, gridwise, and pinhole geometries. The simulations are performed via a finite element implementation in two and three dimensions. The presented model is well suited to depict the experimental cells, and the virtual optimisation delivers optimal geometrical parameters for different C-rates based on the respective discharge capacities. These virtually optimised cells will help in the reduction of prototyping cost and speed up production process parameterisation.
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spelling pubmed-91053542022-05-14 Modelling and Optimisation of Laser-Structured Battery Electrodes Schweighofer, Lukas Eschelmüller, Bernd Fröhlich, Katja Pfleging, Wilhelm Pichler, Franz Nanomaterials (Basel) Article An electrochemical multi-scale model framework for the simulation of arbitrarily three-dimensional structured electrodes for lithium-ion batteries is presented. For the parameterisation, the electrodes are structured via laser ablation, and the model is fit to four different, experimentally electrochemically tested cells. The parameterised model is used to optimise the parameters of three different pattern designs, namely linear, gridwise, and pinhole geometries. The simulations are performed via a finite element implementation in two and three dimensions. The presented model is well suited to depict the experimental cells, and the virtual optimisation delivers optimal geometrical parameters for different C-rates based on the respective discharge capacities. These virtually optimised cells will help in the reduction of prototyping cost and speed up production process parameterisation. MDPI 2022-05-06 /pmc/articles/PMC9105354/ /pubmed/35564283 http://dx.doi.org/10.3390/nano12091574 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Schweighofer, Lukas
Eschelmüller, Bernd
Fröhlich, Katja
Pfleging, Wilhelm
Pichler, Franz
Modelling and Optimisation of Laser-Structured Battery Electrodes
title Modelling and Optimisation of Laser-Structured Battery Electrodes
title_full Modelling and Optimisation of Laser-Structured Battery Electrodes
title_fullStr Modelling and Optimisation of Laser-Structured Battery Electrodes
title_full_unstemmed Modelling and Optimisation of Laser-Structured Battery Electrodes
title_short Modelling and Optimisation of Laser-Structured Battery Electrodes
title_sort modelling and optimisation of laser-structured battery electrodes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105354/
https://www.ncbi.nlm.nih.gov/pubmed/35564283
http://dx.doi.org/10.3390/nano12091574
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