journal article·2016Open access

Towards Next Generation Lithium-Sulfur Batteries: Non-Conventional Carbon Compartments/Sulfur Electrodes and Multi-Scale Analysis

Arthur D. Dysart, Juan C. Burgos, Aashutosh Mistry, Chien-Fan Chen, Zhixiao Liu, Chulgi Nathan Hong, Perla B. Balbuena, Partha P. Mukherjee, Vilas G. Pol

Abstract

In this work, a novel heterofunctional, bimodally-porous carbon morphology, termed the carbon compartment (CC), is utilized as a sulfur host within a lithium-sulfur battery cathode. A multi-scale model explores the physics and chemistry of the lithium-sulfur battery cathode. The CCs are synthesized through a rapid, low cost process to improve electrode-electrolyte interfacial contact and accommodate volumetric expansion associated with sulfide formation. The CCs demonstrate controllable sulfur loading and ca. 700 mAh g −1 (at 47%-wt S) reversible capacity with high coulombic efficiency due to their unique structures. Density functional theory and ab initio molecular dynamics characterize the interface between the C/S composite and electrolyte during the sulfur reduction mechanism. Stochastic realizations of 3D electrode microstructures are reconstructed based on representative SEM micrographs to study the influence of solid sulfur loading and lithium sulfide precipitation on microstructural and electrochemical properties. A macroscale electrochemical performance model is developed to analyze the performance of lithium-sulfur batteries. The combined multi-scale simulation studies explain key fundamentals of sulfur reduction and its relation to the polysulfide shuttle mechanism: how the process is affected due to the presence of carbon substrate, thermodynamics of lithium sulfide formation and deposition on carbon, and microstructural effects on the overall cell performance.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Battery Materials and Technologies · Advancements in Battery Materials · Advanced Battery Technologies Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (52)

Show source-provided references
1. 10.1039/B809990C10.1039/B809990C ↗
2. 10.1016/j.rser.2015.01.05910.1016/j.rser.2015.01.059 ↗
3. 10.1016/j.rser.2006.10.00110.1016/j.rser.2006.10.001 ↗
4. 10.1002/anie.20120142910.1002/anie.201201429 ↗
5. 10.1039/c2ee21892e10.1039/c2ee21892e ↗
6. 10.1016/j.pecs.2015.01.00210.1016/j.pecs.2015.01.002 ↗
7. 10.1557/mrs.2011.15710.1557/mrs.2011.157 ↗
8. 10.1016/j.jpowsour.2010.08.05610.1016/j.jpowsour.2010.08.056 ↗
9. 10.1039/b925751a10.1039/b925751a ↗
10. 10.1146/annurev-chembioeng-073009-10094210.1146/annurev-chembioeng-073009-100942 ↗
11. 10.1016/j.jpowsour.2012.03.06210.1016/j.jpowsour.2012.03.062 ↗
12. 10.1038/nmat319110.1038/nmat3191 ↗
13. 10.1016/0378-7753(83)87029-310.1016/0378-7753(83)87029-3 ↗
14. 10.1038/nmat246010.1038/nmat2460 ↗
15. 10.1002/adma.20120405110.1002/adma.201204051 ↗
16. 10.1021/acsami.5b0141210.1021/acsami.5b01412 ↗
17. 10.1103/PhysRev.140.A113310.1103/PhysRev.140.A1133 ↗
18. 10.1103/RevModPhys.61.68910.1103/RevModPhys.61.689 ↗
19. 10.1103/PhysRevLett.55.247110.1103/PhysRevLett.55.2471 ↗
20. 10.1103/RevModPhys.64.104510.1103/RevModPhys.64.1045 ↗
21. 10.1103/PhysRevB.48.1311510.1103/PhysRevB.48.13115 ↗
22. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
23. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
24. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
25. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
26. 10.1103/PhysRevB.13.518810.1103/PhysRevB.13.5188 ↗
27. 10.1063/1.338234410.1063/1.3382344 ↗
28. 10.1002/jcc.2175910.1002/jcc.21759 ↗
29. 10.1021/acs.nanolett.5b0036710.1021/acs.nanolett.5b00367 ↗
30. Marx D. Hutter J. , Ab Initio Molecular Dynamics: Basic Theory and Advanced Methods, Cambridge Univeristy Press, Cambridge, UK, 2009.10.1017/CBO9780511609633 ↗
31. 10.1103/PhysRevLett.45.119610.1103/PhysRevLett.45.1196 ↗
32. 10.1063/1.32869310.1063/1.328693 ↗
33. Allen M. P. Tildesley D. J. , Computer simulation of liquids, Clarendon Press, 1989.10.1063/1.2810937 ↗
34. Schlick T. , Molecular Modeling and Simulation: An Interdisciplinary Guide, Springer-Verlag New York, Inc., 2002.10.1007/978-0-387-22464-0 ↗
35. 10.1103/PhysRevB.28.548010.1103/PhysRevB.28.5480 ↗
36. 10.1149/2.096308jes10.1149/2.096308jes ↗
37. 10.1039/B926077C10.1039/B926077C ↗
38. 10.1149/2.0331507jes10.1149/2.0331507jes ↗
39. 10.1039/C4CP05758A10.1039/C4CP05758A ↗
40. 10.1016/j.jpowsour.2009.11.04410.1016/j.jpowsour.2009.11.044 ↗
41. 10.1149/1.356044110.1149/1.3560441 ↗
42. 10.1126/science.247.4949.143910.1126/science.247.4949.1439 ↗
43. 10.1039/C2CS35282F10.1039/C2CS35282F ↗
44. 10.1016/j.ultsonch.2004.01.03710.1016/j.ultsonch.2004.01.037 ↗
45. 10.1109/ULTSYM.1997.66307610.1109/ULTSYM.1997.663076 ↗
46. Downs R. T. , Kobe, Japan, 2006.
47. 10.1039/C5TA03195H10.1039/C5TA03195H ↗
48. 10.1149/2.0431501jes10.1149/2.0431501jes ↗
49. 10.1149/2.020211jes10.1149/2.020211jes ↗
50. 10.1039/C4CP06118G10.1039/C4CP06118G ↗
51. 10.1103/PhysRevB.77.23543010.1103/PhysRevB.77.235430 ↗
52. 10.2138/am-2003-040910.2138/am-2003-0409 ↗