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Mesoscale Effects in the Extraction of the Solid-State Lithium Diffusion Coefficient Values of Battery Active Materials: Physical Insights from 3D Modeling
[Image: see text] During the screening of active materials (AMs) for lithium-ion batteries, the solid-state lithium diffusion coefficient (D(Li)) is one of the most relevant descriptors used to evaluate the relevance of an AM candidate. However, for a given compound, the D(Li) values reported in lit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388156/ https://www.ncbi.nlm.nih.gov/pubmed/32183510 http://dx.doi.org/10.1021/acs.jpclett.0c00517 |
Sumario: | [Image: see text] During the screening of active materials (AMs) for lithium-ion batteries, the solid-state lithium diffusion coefficient (D(Li)) is one of the most relevant descriptors used to evaluate the relevance of an AM candidate. However, for a given compound, the D(Li) values reported in literature span over several orders of magnitude. Therefore, through the case study of LiNi(1/3)Mn(1/3)Co(1/3)O(2) cathode AM, new physical insights are provided to explain the dispersion of D(Li) values obtained through galvanostatic intermittent titration technique (GITT) . For the first time, a 3D electrochemical model (accounting for the carbon-binder domain) fed with experimental inputs is capable of highlighting the limitations of the most widely used equation for deriving D(Li). Through our model, we show that these limitations arise from the influence of the carbon-binder domain location throughout the electrode and the non-homogeneous AM phasedistribution and particle size. |
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