journal article·2026-02

Tailoring Sulfide Particle Size for All‐Solid‐State Lithium Metal Batteries

Ziqi Zhang, Changqing Jing, Jingming Yao, Yujing Wu, Dengxu Wu, Weitao He, Fuqiang Xu, Tenghuan Ma, Hong Li, Xvejie Huang, Liquan Chen, Fan Wu

Advanced Materials· Volume 38· Issue 11
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Abstract

ABSTRACT The precise control of sulfide solid electrolyte (SSE) particle size distribution is crucial for constructing efficient ion‐conducting networks in composite cathodes of all‐solid‐state lithium metal batteries (ASSLBs). This work systematically investigates the effects of key particle size parameters (D 10 , D 50 , D 90 ) of Li 6 PS 5 Cl SSE on battery performance through controlled mechanical grinding. In this study, the optimal SSE particle size composition enables exceptional electrochemical performance of ASSLB: a high reversible capacity of 202.2 mAh/g at 0.25C, superior rate capability (76% capacity retention of 5C/0.25C), and outstanding cyclability (81.5% and 80% capacity retention after 4000 cycles at 3C and 5C, respectively). Microstructural analysis indicates that the optimized SSE particle configuration, when 7.3 ≤ D 50Cathode /D 50SSE and 2.0 ≤ D 90Cathode /D 90SSE ≤ 3.5, forms a hierarchical ion‐conducting network. In this configuration, the fine particles of SSE in the composite cathode can effectively fill the cathode gaps, while the medium‐sized particles can provide rapid ion transport channels, resulting in excellent rate performance and reversible capacity. Larger electrolyte particles will lead to insufficient interfacial contact and “island‐like” ion transport paths. Additionally, excessively lowering D 90 will also result in reduced battery performance (3.5 ≤ D 90C /D 90SE ). This study provides quantitative guiding principles for SSE particle engineering.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Battery Materials and Technologies · Advancements in Battery Materials · Extraction and Separation Processes

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

Affiliations

Key Laboratory for Renewable Energy Beijing Key Laboratory for New Energy Materials and Devices Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing China

Jiangsu Provincial Engineering Research Center for Structure‐Function Integrated Metallic Materials for Harsh Environments College of Materials Science and Engineering Hohai University Changzhou China

Clean Nano Energy Center State Key Laboratory of Metastable Materials Science and Technology Yanshan University Qinhuangdao Hebei China

University of Chinese Academy of Sciences Beijing China

Tianmu Lake Institute of Advanced Energy Storage Technologies Liyang Jiangsu China

National Key Laboratory of Chemical and Physical Power Sources,Tianjin Institute of Power Sources Tianjin China

Yangtze River Delta Physics Research Center Liyang Jiangsu China

CASOL Energy Technology Co.Ltd. Liyang Jiangsu China

Funding

Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Jiangsu Provincial Department of Science and Technology

References (46)

Show source-provided references
1. 10.1039/C7CS00863E10.1039/C7CS00863E ↗
2. 10.1038/natrevmats.2016.10310.1038/natrevmats.2016.103 ↗
3. 10.1002/adma.20190037610.1002/adma.201900376 ↗
4. 10.1038/s41560-020-0565-110.1038/s41560-020-0565-1 ↗
5. 10.1038/s41560-023-01208-910.1038/s41560-023-01208-9 ↗
6. 10.1002/adma.20220601310.1002/adma.202206013 ↗
7. 10.1126/science.abg599810.1126/science.abg5998 ↗
8. 10.1002/adma.20190113110.1002/adma.201901131 ↗
9. 10.1038/s41578-021-00320-010.1038/s41578-021-00320-0 ↗
10. 10.1016/j.nanoen.2021.10585810.1016/j.nanoen.2021.105858 ↗
11. 10.1021/acs.chemrev.0c0010110.1021/acs.chemrev.0c00101 ↗
12. 10.1016/j.ensm.2022.10.05710.1016/j.ensm.2022.10.057 ↗
13. 10.1021/acsami.1c0795210.1021/acsami.1c07952 ↗
14. 10.1021/acsenergylett.0c0020710.1021/acsenergylett.0c00207 ↗
15. 10.1002/eem2.1261310.1002/eem2.12613 ↗
16. 10.1016/j.ensm.2023.10300710.1016/j.ensm.2023.103007 ↗
17. 10.1002/aenm.20220173210.1002/aenm.202201732 ↗
18. 10.1007/s41918-020-00081-410.1007/s41918-020-00081-4 ↗
19. 10.1002/aenm.20200315410.1002/aenm.202003154 ↗
20. 10.1016/j.esci.2022.06.00110.1016/j.esci.2022.06.001 ↗
21. 10.1007/s41918-024-00212-110.1007/s41918-024-00212-1 ↗
22. 10.1007/s41918-025-00242-310.1007/s41918-025-00242-3 ↗
23. 10.1002/adma.20241231910.1002/adma.202412319 ↗
24. 10.1007/s41918-024-00228-710.1007/s41918-024-00228-7 ↗
25. 10.1039/D3EE00420A10.1039/D3EE00420A ↗
26. 10.1016/j.pmatsci.2023.10118210.1016/j.pmatsci.2023.101182 ↗
27. 10.1016/j.ensm.2021.06.01510.1016/j.ensm.2021.06.015 ↗
28. 10.1021/acsenergylett.8b0027510.1021/acsenergylett.8b00275 ↗
29. 10.1002/aenm.20200358310.1002/aenm.202003583 ↗
30. 10.1002/aenm.20210012610.1002/aenm.202100126 ↗
31. 10.1002/eem2.1230810.1002/eem2.12308 ↗
32. 10.1016/j.joule.2025.10204610.1016/j.joule.2025.102046 ↗
33. 10.1002/aenm.20230230910.1002/aenm.202302309 ↗
34. 10.1038/s41560-023-01279-810.1038/s41560-023-01279-8 ↗
35. 10.1038/s41560-020-0575-z10.1038/s41560-020-0575-z ↗
36. 10.1021/acs.nanolett.3c0286110.1021/acs.nanolett.3c02861 ↗
37. 10.1021/acsnano.3c0353210.1021/acsnano.3c03532 ↗
38. 10.1021/acsnano.2c0490510.1021/acsnano.2c04905 ↗
39. 10.1002/adma.20210092110.1002/adma.202100921 ↗
40. 10.1002/aenm.20230133610.1002/aenm.202301336 ↗
41. 10.1002/adma.20231039510.1002/adma.202310395 ↗
42. 10.1039/D1TA10966A10.1039/D1TA10966A ↗
43. 10.1016/j.nanoen.2023.10889310.1016/j.nanoen.2023.108893 ↗
44. 10.1002/adma.20250569510.1002/adma.202505695 ↗
45. 10.1002/adfm.20240442710.1002/adfm.202404427 ↗
46. 10.1016/j.cossms.2021.10097710.1016/j.cossms.2021.100977 ↗