journal article·2020-12Open access

Stable Potassium Metal Anodes with an All‐Aluminum Current Collector through Improved Electrolyte Wetting

Pengcheng Liu, Yixian Wang, Hongchang Hao, Swastik Basu, Xuyong Feng, Yixin Xu, Jorge Anibal Boscoboinik, Jagjit Nanda, John Watt, David Mitlin

Advanced Materials· Volume 32· Issue 49

Abstract

Abstract This is the first report of successful potassium metal battery anode cycling with an aluminum‐based rather than copper‐based current collector. Dendrite‐free plating/stripping is achieved through improved electrolyte wetting, employing an aluminum‐powder‐coated aluminum foil “Al@Al,” without any modification of the support surface chemistry or electrolyte additives. The reservoir‐free Al@Al half‐cell is stable at 1000 cycles (1950 h) at 0.5 mA cm−2, with 98.9% cycling Coulombic efficiency and 0.085 V overpotential. The pre‐potassiated cell is stable through a wide current range, including 130 cycles (2600 min) at 3.0 mA cm−2, with 0.178 V overpotential. Al@Al is fully wetted by a 4 m potassium bis(fluorosulfonyl)imide‐dimethoxyethane electrolyte (θCA = 0°), producing a uniform solid electrolyte interphase (SEI) during the initial galvanostatic formation cycles. On planar aluminum foil with a nearly identical surface oxide, the electrolyte wets poorly (θCA = 52°). This correlates with coarse irregular SEI clumps at formation, 3D potassium islands with further SEI coarsening during plating/stripping, possibly dead potassium metal on stripped surfaces, and rapid failure. The electrochemical stability of Al@Al versus planar Al is not related to differences in potassiophilicity (nearly identical) as obtained from thermal wetting experiments. Planar Cu foils are also poorly electrolyte‐wetted and become dendritic. The key fundamental takeaway is that the incomplete electrolyte wetting of collectors results in early onset of SEI instability and dendrites.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Battery Materials and Technologies · Advancements in Battery Materials · Thermal Expansion and Ionic Conductivity

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

Affiliations

Materials Science and Engineering Program & Texas Materials Institute (TMI) The University of Texas at Austin Austin TX 78712‐1591 USA

Center for Functional Nanomaterials Brookhaven National Laboratory Upton NY 11973 USA

Chemical Sciences Division Oak Ridge National Laboratory Oak Ridge TN 37830 USA

Center for Integrated Nanotechnologies Los Alamos National Laboratory Los Alamos NM 87545 USA

Funding

Basic Energy Sciences · Division of Materials Sciences and Engineering · Los Alamos National Laboratory · Sandia National Laboratories · Brookhaven National Laboratory

References (100+)

Show source-provided references
1. 10.1021/cm901452z10.1021/cm901452z ↗
2. 10.1039/C4EE03832K10.1039/C4EE03832K ↗
3. 10.1038/451652a10.1038/451652a ↗
4. 10.1038/natrevmats.2018.1310.1038/natrevmats.2018.13 ↗
5. 10.1002/aenm.20170142810.1002/aenm.201701428 ↗
6. 10.1039/C6CS00776G10.1039/C6CS00776G ↗
7. 10.1038/s41560-018-0107-210.1038/s41560-018-0107-2 ↗
8. 10.1021/acs.chemrev.9b0046310.1021/acs.chemrev.9b00463 ↗
9. 10.1126/sciadv.aav741210.1126/sciadv.aav7412 ↗
10. 10.1002/adma.20190141410.1002/adma.201901414 ↗
11. 10.1002/aenm.20170238410.1002/aenm.201702384 ↗
12. 10.1039/C8TA09751H10.1039/C8TA09751H ↗
13. 10.1002/adfm.20190171910.1002/adfm.201901719 ↗
14. 10.1002/smll.20190025810.1002/smll.201900258 ↗
15. 10.1021/acsami.9b1554310.1021/acsami.9b15543 ↗
16. 10.1021/acsami.6b0798910.1021/acsami.6b07989 ↗
17. 10.1016/j.jpowsour.2018.05.08910.1016/j.jpowsour.2018.05.089 ↗
18. 10.1021/ar200270510.1021/ar2002705 ↗
19. 10.1002/adma.20190042910.1002/adma.201900429 ↗
20. 10.1021/acsnano.6b0599810.1021/acsnano.6b05998 ↗
21. 10.1039/C6NR04084E10.1039/C6NR04084E ↗
22. 10.1021/acsnano.9b0668010.1021/acsnano.9b06680 ↗
23. 10.1039/C6TA06797B10.1039/C6TA06797B ↗
24. 10.1007/s41918-018-0023-y10.1007/s41918-018-0023-y ↗
25. 10.1021/acs.accounts.0c0009910.1021/acs.accounts.0c00099 ↗
26. U. S. G. Survey · 2020
27. 10.1021/acssuschemeng.8b0149410.1021/acssuschemeng.8b01494 ↗
28. 10.1038/s41560-019-0338-x10.1038/s41560-019-0338-x ↗
29. 10.1016/j.joule.2018.11.01210.1016/j.joule.2018.11.012 ↗
30. 10.1016/j.matt.2019.06.02010.1016/j.matt.2019.06.020 ↗
31. 10.1002/aenm.20180291810.1002/aenm.201802918 ↗
32. 10.1021/acsami.9b1618610.1021/acsami.9b16186 ↗
33. 10.1002/adma.20170621610.1002/adma.201706216 ↗
34. 10.1002/adma.20170372910.1002/adma.201703729 ↗
35. 10.1016/j.ensm.2019.05.00410.1016/j.ensm.2019.05.004 ↗
36. 10.1016/j.ensm.2018.10.00410.1016/j.ensm.2018.10.004 ↗
37. 10.1149/1945-7111/ab8a9810.1149/1945-7111/ab8a98 ↗
38. 10.1002/adma.20190673510.1002/adma.201906735 ↗
39. 10.1038/nnano.2017.1610.1038/nnano.2017.16 ↗
40. 10.1021/acs.chemrev.7b0011510.1021/acs.chemrev.7b00115 ↗
41. 10.1021/acsenergylett.9b0167610.1021/acsenergylett.9b01676 ↗
42. 10.1002/adfm.20180797410.1002/adfm.201807974 ↗
43. 10.1002/adfm.20180594610.1002/adfm.201805946 ↗
44. 10.1002/aenm.20150216410.1002/aenm.201502164 ↗
45. 10.1039/C8EE01373J10.1039/C8EE01373J ↗
46. 10.1021/acs.nanolett.7b0113810.1021/acs.nanolett.7b01138 ↗
47. 10.1002/aenm.20180063510.1002/aenm.201800635 ↗
48. 10.1021/acs.chemrev.8b0064210.1021/acs.chemrev.8b00642 ↗
49. 10.1002/adma.20190800710.1002/adma.201908007 ↗
50. 10.1038/s41467-018-03466-810.1038/s41467-018-03466-8 ↗
51. 10.1016/j.chempr.2018.11.00510.1016/j.chempr.2018.11.005 ↗
52. 10.1021/acs.jpclett.9b0071110.1021/acs.jpclett.9b00711 ↗
53. 10.1002/anie.20191317410.1002/anie.201913174 ↗
54. 10.1002/anie.20190860710.1002/anie.201908607 ↗
55. 10.1021/jacs.7b0494510.1021/jacs.7b04945 ↗
56. 10.1016/j.joule.2018.04.02210.1016/j.joule.2018.04.022 ↗
57. 10.1021/acsnano.9b0391510.1021/acsnano.9b03915 ↗
58. 10.1002/aenm.20190269710.1002/aenm.201902697 ↗
59. 10.1002/adma.20190673910.1002/adma.201906739 ↗
60. 10.1002/aenm.20190142710.1002/aenm.201901427 ↗
61. 10.1016/j.nanoen.2019.05.02010.1016/j.nanoen.2019.05.020 ↗
62. 10.1073/pnas.191547011710.1073/pnas.1915470117 ↗
63. 10.1126/science.aap878710.1126/science.aap8787 ↗
64. 10.1016/j.pmatsci.2018.04.00610.1016/j.pmatsci.2018.04.006 ↗
65. 10.1016/j.elecom.2015.09.00210.1016/j.elecom.2015.09.002 ↗
66. P. A.Nelson K. G.Gallagher I.Bloom D. W.Dees (Argonne National Laboratory) Modeling the Performance and Cost of Lithium‐Ion Batteries for Electric‐Drive Vehicles2011 https://publications.anl.gov/anlpubs/2011/10/71302.pdf(accessed: October 2020).10.2172/1027714 ↗
67. 10.1039/C8TA05911J10.1039/C8TA05911J ↗
68. 10.1021/acsaem.8b0136110.1021/acsaem.8b01361 ↗
69. 10.1021/acs.nanolett.7b0318510.1021/acs.nanolett.7b03185 ↗
70. 10.1021/acs.nanolett.6b0517410.1021/acs.nanolett.6b05174 ↗
71. 10.1039/D0TA01853H10.1039/D0TA01853H ↗
72. 10.1021/cr500002z10.1021/cr500002z ↗
73. 10.1002/adma.20160398710.1002/adma.201603987 ↗
74. 10.1002/aenm.20180266510.1002/aenm.201802665 ↗
75. 10.1002/adma.20150612410.1002/adma.201506124 ↗
76. 10.1126/sciadv.aat344610.1126/sciadv.aat3446 ↗
77. 10.1016/S0001-8686(97)00040-710.1016/S0001-8686(97)00040-7 ↗
78. 10.1021/ie50320a02410.1021/ie50320a024 ↗
79. 10.1021/j150474a01510.1021/j150474a015 ↗
80. 10.1002/admi.20190083910.1002/admi.201900839 ↗
81. 10.1039/C8TA09403A10.1039/C8TA09403A ↗
82. 10.1021/jacs.5b1272810.1021/jacs.5b12728 ↗
83. 10.1039/C8NH00223A10.1039/C8NH00223A ↗
84. 10.1073/pnas.151818811310.1073/pnas.1518188113 ↗
85. 10.1021/acsnano.8b0605110.1021/acsnano.8b06051 ↗
86. 10.1038/nnano.2016.3210.1038/nnano.2016.32 ↗
87. 10.1002/anie.20170393710.1002/anie.201703937 ↗
88. 10.1021/acs.accounts.9b0043710.1021/acs.accounts.9b00437 ↗
89. 10.1002/adma.20180758510.1002/adma.201807585 ↗
90. 10.1002/anie.20191221710.1002/anie.201912217 ↗
91. 10.1016/j.ensm.2020.01.01910.1016/j.ensm.2020.01.019 ↗
92. 10.1016/j.nanoen.2020.10450410.1016/j.nanoen.2020.104504 ↗
93. 10.1002/aenm.20190375310.1002/aenm.201903753 ↗
94. 10.1038/s41560-017-0047-210.1038/s41560-017-0047-2 ↗
95. 10.1002/anie.20180871410.1002/anie.201808714 ↗
96. 10.1021/acs.nanolett.6b0158110.1021/acs.nanolett.6b01581 ↗
97. 10.1038/s41563-019-0438-910.1038/s41563-019-0438-9 ↗
98. 10.15407/fm26.01.610.15407/fm26.01.6 ↗
99. 10.1088/0022-3727/44/44/44300110.1088/0022-3727/44/44/443001 ↗
100. 10.1039/C8CC07852A10.1039/C8CC07852A ↗