journal article·2023-06-05

Quantifying the Morphology Evolution of Lithium Battery Materials Using Operando Electron Microscopy

Qiang Chang, Yun Xin Angel Ng, Dahai Yang, Junhao Chen, Tong Liang, Sheng Chen, Xingyu Zhang, Zihao Ou, Juyeong Kim, Edison Huixiang Ang, Hongfa Xiang, Xiaohui Song

ACS Materials Letters· Volume 5· Issue 6
Publisher page

Abstract

With the increase in dependence on renewable energy sources, interest in energy storage systems has increased, particularly with solar cells, redox flow batteries, and lithium batteries. Multiple diagnostic techniques have been utilized to characterize various factors in relation to the battery performance. Electrochemical tests were used to study the energy density, capacity, cycle life, rate, and other related properties. Furthermore, it is critical to correlate the information collected from the characterization of materials to its properties while functioning for advanced batteries. In situ and operando electron microscopy methods are specifically designed to conduct such characterization, and analysis was found to be the best method to achieve that objective. However, the characterization information collected varies according to the types of electron microscopy techniques. Also, the use of complementary analytical techniques further provides a more comprehensive study of these different characterizations, giving insights into the morphology-performance relationship of battery materials and interfaces. Within this review, the focus is on in situ and operando electron microscopy characterization of battery materials, including transmission electron microscopy (TEM), scanning electron microscopy (SEM), cryogenic transmission electron microscopy (Cryo-TEM), and three-dimensional (3D) electron tomography. This review aims to cover both advanced electron microscopy imaging techniques and their applications in the characterization of battery materials involving cathode, anode, and separator and solid electrolyte interphase (SEI). The review discusses a range of advanced electron microscopy techniques, including TEM, SEM, and atomic force microscopy, as well as associated analytical techniques such as energy-dispersive X-ray spectroscopy and electron energy loss spectroscopy. The use of these techniques has led to significant advances in our understanding of battery materials, including the identification of new phases and structures, the study of interface properties, and the characterization of defects and degradation mechanisms. Future perspectives on these advanced electron microscopy techniques and opportunities are also discussed. Overall, this review highlights the importance of electron microscopy in battery research and the potential for these techniques to drive future advancements in the field.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Electron Microscopy Techniques and Applications · Electron and X-Ray Spectroscopy Techniques · Advancements in Battery Materials

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

Affiliations

School of Materials Science and Engineering, Hefei University of Technology, Anhui Province 230009, China

Natural Sciences and Science Education, National Institute of Education, Nanyang Technological University, Singapore 637616, Singapore

Instrumental Analysis Center, Hefei University of Technology, Anhui Province 230009, China

Department of Engineering & Mechanics, Beijing University of Technology, Beijing 100124, China

School of Materials Science and Engineering, Stanford University, Stanford, California 94305, United States

Department of Chemistry and Research Institute of Natural Sciences, Gyeongsang National University, Jinju 52828, South Korea

Funding

Hefei University of Technology · National Research Foundation of Korea · Korea Basic Science Institute · National Institute of Education · Anhui Provincial Key Research and Development Plan

References (100+)

Show source-provided references
1. 10.3390/min1202020510.3390/min12020205 ↗
2. 10.1038/s41427-018-0056-z10.1038/s41427-018-0056-z ↗
3. 10.1002/bip.2227410.1002/bip.22274 ↗
4. 10.1021/la060719610.1021/la0607196 ↗
5. Xie, F.; Zhong, P.; Barroso-Luque, L.; Ouyang, B.; Ceder, G. Grand-canonical Monte-Carlo simulation methods for charge-decorated cluster expansions. arXiv Preprint, 2022, arXiv:2210.01165.10.1016/j.commatsci.2022.112000 ↗
6. 10.1002/aenm.20190324010.1002/aenm.201903240 ↗
7. 10.1126/science.124247710.1126/science.1242477 ↗
8. 10.1021/acs.accounts.7b0004810.1021/acs.accounts.7b00048 ↗
9. 10.1038/s41467-017-00857-110.1038/s41467-017-00857-1 ↗
10. 10.1111/j.1551-2916.2011.04670.x10.1111/j.1551-2916.2011.04670.x ↗
11. 10.1088/2515-7655/ac01ef10.1088/2515-7655/ac01ef ↗
12. 10.1039/D0NR05382A10.1039/D0NR05382A ↗
13. 10.1126/science.abi870310.1126/science.abi8703 ↗
14. 10.1038/s41563-022-01381-410.1038/s41563-022-01381-4 ↗
15. 10.1021/acsanm.1c0436010.1021/acsanm.1c04360 ↗
16. 10.1126/science.119562810.1126/science.1195628 ↗
17. 10.1002/smll.20200189910.1002/smll.202001899 ↗
18. 10.1002/smll.20180310810.1002/smll.201803108 ↗
19. 10.1016/j.matt.2022.01.01510.1016/j.matt.2022.01.015 ↗
20. 10.1016/j.nanoen.2019.10417810.1016/j.nanoen.2019.104178 ↗
21. 10.1016/j.etran.2022.10020310.1016/j.etran.2022.100203 ↗
22. 10.1002/aenm.20120002410.1002/aenm.201200024 ↗
23. 10.1002/eem2.1226110.1002/eem2.12261 ↗
24. 10.1021/acsnano.1c0486410.1021/acsnano.1c04864 ↗
25. 10.1126/science.117210410.1126/science.1172104 ↗
26. 10.1021/ja310612p10.1021/ja310612p ↗
27. 10.1021/cm303522z10.1021/cm303522z ↗
28. 10.1021/nl404169a10.1021/nl404169a ↗
29. 10.1038/ncomms706810.1038/ncomms7068 ↗
30. 10.1021/acs.nanolett.5b0381210.1021/acs.nanolett.5b03812 ↗
31. 10.1021/acsnano.6b0220010.1021/acsnano.6b02200 ↗
32. 10.1016/j.mattod.2020.09.00310.1016/j.mattod.2020.09.003 ↗
33. 10.1021/nn301746910.1021/nn3017469 ↗
34. 10.1038/s41586-020-1972-y10.1038/s41586-020-1972-y ↗
35. 10.1016/j.nanoen.2021.10618210.1016/j.nanoen.2021.106182 ↗
36. 10.1002/anie.20211098210.1002/anie.202110982 ↗
37. 10.1002/adfm.20220323310.1002/adfm.202203233 ↗
38. 10.1038/s41586-020-2637-610.1038/s41586-020-2637-6 ↗
39. 10.1021/acsaem.0c0110210.1021/acsaem.0c01102 ↗
40. 10.1039/D2TA04309B10.1039/D2TA04309B ↗
41. 10.1016/j.jpowsour.2011.04.00910.1016/j.jpowsour.2011.04.009 ↗
42. 10.1016/j.jpowsour.2016.03.09310.1016/j.jpowsour.2016.03.093 ↗
43. 10.1016/j.jpowsour.2013.09.06910.1016/j.jpowsour.2013.09.069 ↗
44. 10.1021/acs.nanolett.9b0445210.1021/acs.nanolett.9b04452 ↗
45. 10.1002/adfm.20200126310.1002/adfm.202001263 ↗
46. 10.1002/eem2.1226110.1002/eem2.12261 ↗
47. 10.1016/j.electacta.2019.06.16510.1016/j.electacta.2019.06.165 ↗
48. 10.1021/acsami.8b1398110.1021/acsami.8b13981 ↗
49. 10.1021/acs.nanolett.8b0314810.1021/acs.nanolett.8b03148 ↗
50. 10.1039/D2TA01889F10.1039/D2TA01889F ↗
51. 10.1002/aenm.20210214810.1002/aenm.202102148 ↗
52. 10.1002/aenm.20200094510.1002/aenm.202000945 ↗
53. 10.1021/acsnano.0c0502010.1021/acsnano.0c05020 ↗
54. 10.1021/acs.accounts.1c0018310.1021/acs.accounts.1c00183 ↗
55. 10.1021/jacs.1c1014610.1021/jacs.1c10146 ↗
56. 10.1016/j.joule.2020.08.01310.1016/j.joule.2020.08.013 ↗
57. 10.1016/j.matt.2020.10.02110.1016/j.matt.2020.10.021 ↗
58. 10.1002/adfm.20220868210.1002/adfm.202208682 ↗
59. 10.1021/acsenergylett.2c0198110.1021/acsenergylett.2c01981 ↗
60. 10.1038/s41565-022-01148-710.1038/s41565-022-01148-7 ↗
61. 10.1021/acs.nanolett.9b0411110.1021/acs.nanolett.9b04111 ↗
62. 10.1126/science.aam601410.1126/science.aam6014 ↗
63. 10.1016/j.joule.2019.08.01610.1016/j.joule.2019.08.016 ↗
64. 10.1038/s41560-019-0413-310.1038/s41560-019-0413-3 ↗
65. 10.1021/acs.nanolett.8b0490610.1021/acs.nanolett.8b04906 ↗
66. 10.1021/acsnano.8b0801210.1021/acsnano.8b08012 ↗
67. 10.1016/j.rser.2021.11143710.1016/j.rser.2021.111437 ↗
68. 10.1016/j.joule.2020.02.01010.1016/j.joule.2020.02.010 ↗
69. 10.1016/j.matt.2020.02.00310.1016/j.matt.2020.02.003 ↗
70. 10.1016/j.eng.2022.06.02210.1016/j.eng.2022.06.022 ↗
71. 10.1007/s11426-022-1525-310.1007/s11426-022-1525-3 ↗
72. 10.1038/s41578-021-00320-010.1038/s41578-021-00320-0 ↗
73. 10.1016/j.esci.2022.02.00810.1016/j.esci.2022.02.008 ↗
74. 10.1021/acsenergylett.1c0044510.1021/acsenergylett.1c00445 ↗
75. 10.1038/s41578-019-0165-510.1038/s41578-019-0165-5 ↗
76. 10.1021/nl403923s10.1021/nl403923s ↗
77. 10.1038/nature1200910.1038/nature12009 ↗
78. 10.1126/science.aaf215710.1126/science.aaf2157 ↗
79. 10.1038/s41586-019-1317-x10.1038/s41586-019-1317-x ↗
80. 10.1002/adma.20180156410.1002/adma.201801564 ↗
81. 10.3390/cells801005710.3390/cells8010057 ↗
82. 10.1002/adma.20210825210.1002/adma.202108252 ↗
83. 10.1002/adfm.20130350810.1002/adfm.201303508 ↗
84. 10.1002/smll.20220331010.1002/smll.202203310 ↗
85. 10.1021/acsmaterialslett.0c0039810.1021/acsmaterialslett.0c00398 ↗
86. 10.1021/acsnano.1c0777210.1021/acsnano.1c07772 ↗
87. 10.1021/acs.nanolett.1c0377310.1021/acs.nanolett.1c03773 ↗
88. 10.1021/acsami.8b0420410.1021/acsami.8b04204 ↗
89. 10.1039/D0TA06985J10.1039/D0TA06985J ↗
90. 10.1039/D1TA03036A10.1039/D1TA03036A ↗
91. 10.1017/S143192760505036110.1017/S1431927605050361 ↗
92. 10.1016/j.elecom.2009.12.03810.1016/j.elecom.2009.12.038 ↗
93. 10.1016/j.jpowsour.2014.07.00110.1016/j.jpowsour.2014.07.001 ↗
94. 10.1039/c3cp52356j10.1039/c3cp52356j ↗
95. 10.1021/acscentsci.0c0043010.1021/acscentsci.0c00430 ↗
96. 10.1002/smll.20150297410.1002/smll.201502974 ↗
97. 10.1111/j.1365-2818.2011.03497.x10.1111/j.1365-2818.2011.03497.x ↗
98. 10.1126/science.aah443410.1126/science.aah4434 ↗
99. 10.1021/acsnano.0c0680910.1021/acsnano.0c06809 ↗
100. 10.1186/s40679-016-0030-110.1186/s40679-016-0030-1 ↗