Using resistor network models to predict the transport properties of solid-state battery composites
Abstract Solid-state batteries use composites of solid ion conductors and active materials as electrode materials. The effective transport of charge carriers and heat thereby strongly determines the overall solid-state battery performance and safety. However, the phase space for optimization of the...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-56514-5 |
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| _version_ | 1823861841853415424 |
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| author | Lukas Ketter Niklas Greb Tim Bernges Wolfgang G. Zeier |
| author_facet | Lukas Ketter Niklas Greb Tim Bernges Wolfgang G. Zeier |
| author_sort | Lukas Ketter |
| collection | DOAJ |
| description | Abstract Solid-state batteries use composites of solid ion conductors and active materials as electrode materials. The effective transport of charge carriers and heat thereby strongly determines the overall solid-state battery performance and safety. However, the phase space for optimization of the composition of solid electrolyte, active material, additive is too large to cover experimentally. In this work, a resistor network model is presented that successfully describes the transport phenomena in solid-state battery composites, when benchmarked against experimental data of the electronic, ionic, and thermal conductivity of LiNi0.83Co0.11Mn0.06O2-Li6PS5Cl positive electrode composites. To highlight the broadness of the approach, literature data are examined using the proposed model. As the model is easily accessible and expandable, without the need for high computing power, it offers valuable guidance for experimentalists helping to streamline the tedious process of performing a multitude of experiments to understand and optimize the effective transport of composite electrodes. |
| format | Article |
| id | doaj-art-c3d9a0ec92144e75bb97e73832700b49 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-c3d9a0ec92144e75bb97e73832700b492025-02-09T12:46:30ZengNature PortfolioNature Communications2041-17232025-02-011611910.1038/s41467-025-56514-5Using resistor network models to predict the transport properties of solid-state battery compositesLukas Ketter0Niklas Greb1Tim Bernges2Wolfgang G. Zeier3Institute of Inorganic and Analytical Chemistry, University of MünsterInstitute of Inorganic and Analytical Chemistry, University of MünsterInstitute of Inorganic and Analytical Chemistry, University of MünsterInstitute of Inorganic and Analytical Chemistry, University of MünsterAbstract Solid-state batteries use composites of solid ion conductors and active materials as electrode materials. The effective transport of charge carriers and heat thereby strongly determines the overall solid-state battery performance and safety. However, the phase space for optimization of the composition of solid electrolyte, active material, additive is too large to cover experimentally. In this work, a resistor network model is presented that successfully describes the transport phenomena in solid-state battery composites, when benchmarked against experimental data of the electronic, ionic, and thermal conductivity of LiNi0.83Co0.11Mn0.06O2-Li6PS5Cl positive electrode composites. To highlight the broadness of the approach, literature data are examined using the proposed model. As the model is easily accessible and expandable, without the need for high computing power, it offers valuable guidance for experimentalists helping to streamline the tedious process of performing a multitude of experiments to understand and optimize the effective transport of composite electrodes.https://doi.org/10.1038/s41467-025-56514-5 |
| spellingShingle | Lukas Ketter Niklas Greb Tim Bernges Wolfgang G. Zeier Using resistor network models to predict the transport properties of solid-state battery composites Nature Communications |
| title | Using resistor network models to predict the transport properties of solid-state battery composites |
| title_full | Using resistor network models to predict the transport properties of solid-state battery composites |
| title_fullStr | Using resistor network models to predict the transport properties of solid-state battery composites |
| title_full_unstemmed | Using resistor network models to predict the transport properties of solid-state battery composites |
| title_short | Using resistor network models to predict the transport properties of solid-state battery composites |
| title_sort | using resistor network models to predict the transport properties of solid state battery composites |
| url | https://doi.org/10.1038/s41467-025-56514-5 |
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