journal article·2025-07-01

Data-Assisted Design of Temperature-Resistant Weakly Solvating Electrolyte for All-Climate 500 Wh/kg Lithium-Metal Batteries

Zhongzhe Li, Weiyu Wang, Wanyao Zhang, Yufang Chen, Xiaoru Yun, Tao Teng, Chunman Zheng, Ligang Xu, Mingxue Tang, Yun Zhao, Baohua Li, Jilei Liu, Peitao Xiao

ACS Nano· Volume 19· Issue 25
Publisher page

Abstract

Temperature-resistant weakly solvating electrolytes (TRWSEs) are indispensable for lithium-metal batteries with ultrahigh energy density (≥450 Wh kg –1 ) and excellent temperature adaptability (±70 °C). However, how to design ideal TRWSEs efficiently and decipher their evolution at different temperatures is still a great challenge. Herein, via a data-driven strategy, a TRWSE with a melting point as low as −136 °C was elaborately designed. More importantly, the evolution of the TRWSE from intrinsic solvation structures to interphase constructions and to lithium-metal deposition at different temperatures was investigated. Intriguingly, the anion-rich solvation structures in this TRWSE, the anion-derived electrolyte–electrode interphases, and deposited lithium are all temperature-insensitive, especially at low temperatures. Consequently, lithium dendrites are effectively suppressed even at −30 °C with a high Coulombic efficiency of 98.2%. NCM811||Li cells exhibit highly enhanced cycling stability with a capacity retention of almost 100% after 300 cycles at −30 °C. Moreover, 8.5 Ah pouch cells, with a high energy density of 507 Wh kg –1 and an ultrawide operating temperature of 140 °C, still deliver a capacity retention of 92.3% at temperatures as low as −70 °C, which can discharge even at −110 °C, demonstrating their huge potential at ultralow temperatures.
Source: openalex_inverted_index · Quality: baseline

Research context

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

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

Affiliations

College of Aerospace Science and Engineering

National University of Defense Technology

School of Advanced Materials, Shenzhen Graduate School

Peking University

Center for High Pressure Science and Technology Advanced Research

College of Materials Science and Engineering

University of Science and Technology Beijing

Institute of Materials Research, Tsinghua Shenzhen International Graduate School

Tsinghua University

College of Materials Science and Engineering, Hunan Joint International Laboratory of Advanced Materials and Technology of Clean Energy, Hunan Province Key Laboratory for Advanced Carbon Materials and Applied Technology

Hunan University Changsha

Funding

Natural Science Foundation of Hunan Province · National Natural Science Foundation of China

References (46)

Show source-provided references
1. 10.1016/j.chempr.2018.12.00210.1016/j.chempr.2018.12.002 ↗
2. 10.1016/j.chempr.2018.11.00510.1016/j.chempr.2018.11.005 ↗
3. 10.1021/acs.chemrev.0c0027510.1021/acs.chemrev.0c00275 ↗
4. 10.1016/j.ensm.2020.05.01810.1016/j.ensm.2020.05.018 ↗
5. 10.1039/D3CS00151B10.1039/D3CS00151B ↗
6. 10.1021/cr500003w10.1021/cr500003w ↗
7. 10.1021/cr030203g10.1021/cr030203g ↗
8. 10.1021/acs.chemrev.9b0053110.1021/acs.chemrev.9b00531 ↗
9. 10.1002/anie.20220792710.1002/anie.202207927 ↗
10. 10.1016/j.nxener.2024.10011510.1016/j.nxener.2024.100115 ↗
11. 10.26599/EMD.2023.937000310.26599/EMD.2023.9370003 ↗
12. 10.1016/j.ensm.2022.05.00510.1016/j.ensm.2022.05.005 ↗
13. 10.1038/s41586-024-07045-410.1038/s41586-024-07045-4 ↗
14. 10.1038/s41586-022-05627-810.1038/s41586-022-05627-8 ↗
15. 10.1038/s41467-023-43163-910.1038/s41467-023-43163-9 ↗
16. 10.1039/D4EE01437E10.1039/D4EE01437E ↗
17. 10.1002/anie.20240890210.1002/anie.202408902 ↗
18. 10.1021/jacs.3c0834610.1021/jacs.3c08346 ↗
19. 10.1002/adfm.20230050210.1002/adfm.202300502 ↗
20. 10.1039/C9CP03679B10.1039/C9CP03679B ↗
21. 10.1039/C7CP08280K10.1039/C7CP08280K ↗
22. 10.1021/acs.jcim.5b0055910.1021/acs.jcim.5b00559 ↗
23. 10.1093/nar/gky103310.1093/nar/gky1033 ↗
24. 10.1021/jacs.1c0900610.1021/jacs.1c09006 ↗
25. 10.1016/S0013-4686(96)00231-910.1016/S0013-4686(96)00231-9 ↗
26. 10.1016/j.joule.2022.05.00510.1016/j.joule.2022.05.005 ↗
27. 10.1002/anie.20201200510.1002/anie.202012005 ↗
28. 10.1002/advs.20150021310.1002/advs.201500213 ↗
29. 10.1126/sciadv.aau924510.1126/sciadv.aau9245 ↗
30. 10.1002/adfm.20110030310.1002/adfm.201100303 ↗
31. 10.1021/ja305366r10.1021/ja305366r ↗
32. 10.1016/j.jechem.2021.12.02410.1016/j.jechem.2021.12.024 ↗
33. 10.1038/s41467-022-35779-010.1038/s41467-022-35779-0 ↗
34. Zhou, G.; Gao, Z.; Ding, Q.; Zheng, H.; Xu, H.; Wei, Z.; Zhang, L.; Ke, G. Uni-Mol: A Universal 3d Molecular Representation Learning Framework; Proceedings of the 11th International Conference on Learning Representations (ICLR); ICLR, 2023.10.26434/chemrxiv-2022-jjm0j-v4 ↗
35. Gao, Z.; Ji, X.; Zhao, G.; Wang, H.; Zheng, H.; Ke, G.; Zhang, L. Uni-Qsar: An Auto-Ml Tool for Molecular Property Prediction. 2023. arXiv:2304.12239. arXiv.org e-Printarchive. https://doi.org/10.48550/arXiv.2304.12239.
36. Zeng, B.; Chen, S.; Liu, X.; Chen, C.; Deng, B.; Wang, X.; Gao, Z.; Zhang, Y.; Zhang, L. Uni-Elf: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design. 2024. arXiv:2407.06152. arXiv.org e-Printarchive https://doi.org/10.48550/arXiv.2407.06152.
37. RDKit. Open-Source Cheminformatics. https://www.rdkit.org.
38. 10.1021/ci00057a00510.1021/ci00057a005 ↗
39. 10.1016/j.softx.2015.06.00110.1016/j.softx.2015.06.001 ↗
40. 10.1002/jcc.2122410.1002/jcc.21224 ↗
41. 10.1016/j.jmgm.2005.12.00510.1016/j.jmgm.2005.12.005 ↗
42. 10.1002/jcc.2003510.1002/jcc.20035 ↗
43. 10.1002/jcc.2288510.1002/jcc.22885 ↗
44. 10.1002/wcms.160610.1002/wcms.1606 ↗
45. 10.1039/D1CP02805G10.1039/D1CP02805G ↗
46. 10.1016/0263-7855(96)00018-510.1016/0263-7855(96)00018-5 ↗