Sulfide-Based Solid Electrolyte for Lithium Ion Battery
US-2016156064-A1 · Jun 2, 2016 · US
US11201349B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11201349-B2 |
| Application number | US-201716346144-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 31, 2017 |
| Priority date | Oct 31, 2016 |
| Publication date | Dec 14, 2021 |
| Grant date | Dec 14, 2021 |
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Presented are new, earth-abundant lithium superionic conductors, Li 3 Y(PS 4 ) 2 and L1 5 PS 4 Cl 2 , that emerged from a comprehensive screening of the Li—P—S and Li—M—P—S chemical spaces. Both candidates are derived from the relatively unexplored quaternary silver thiophosphates. One key enabler of this discovery is the development of a first-of-its-kind high-throughput first principles screening approach that can exclude candidates unlikely to satisfy the stringent Li+ conductivity requirements using a minimum of computational resources. Both candidates are predicted to be synthesizable, and are electronically insulating. Systems and methods according to present principles enable new, all-solid-state rechargeable lithium-ion batteries.
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The invention claimed is: 1. A high-throughput screening method for identifying superionic conductors, comprising: a. determining an initial pool of Li-based candidate structures that are analogs to existing Ag—P—S ternary and Ag—M—P—S quaternary structures, where M is a non-redox active element; b. filtering out unstable candidate structures; and c. performing diffusivity screening on remaining candidate structures. 2. The method of claim 1 , wherein the filtering is performed by phase stability analysis. 3. The method of claim 1 , wherein the diffusivity screening is performed by a three step approach. 4. The method of claim 3 , wherein the three steps include topological analysis to exclude candidate structures having only 1D Li diffusion pathways, quick diffusivity estimation, and long ab initio molecular dynamics (AIMD) simulations. 5. The method of claim 4 , wherein the long AIMD simulations are performed at multiple temperatures for a converged diffusivity of the most promising candidates. 6. The method of claim 1 , further comprising performing dopant and composition optimization. 7. The method of claim 3 , wherein the quick diffusivity estimation uses mean square displacement from short ab initio molecular dynamics (AIMD) simulations. 8. A superionic conductor, identified by the method of claim 1 . 9. The superionic conductor of claim 8 , having the structure of Li 3 Y(PS 4 ) 2 or Li 5 PS 4 Cl 2 .
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Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures · CPC title
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Alkaline or alkaline earth metals elements (H01M4/40 takes precedence) · CPC title
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