journal article·2023-06-07Open access

Development of 2-in-1 Sensors for the Safety Assessment of Lithium-Ion Batteries via Early Detection of Vapors Produced by Electrolyte Solvents

Oleg Lupan, Nicolae Magariu, David Santos-Carballal, Nicolai Ababii, Jakob Offermann, Pia Pooker, Sandra Hansen, Leonard Siebert, Nora H. de Leeuw, Rainer Adelung

ACS Applied Materials & Interfaces· Volume 15· Issue 22

Abstract

High Resolution Image Download MS PowerPoint Slide Batteries play a critical role in achieving zero-emission goals and in the transition toward a more circular economy. Ensuring battery safety is a top priority for manufacturers and consumers alike, and hence is an active topic of research. Metal-oxide nanostructures have unique properties that make them highly promising for gas sensing in battery safety applications. In this study, we investigate the gas-sensing capabilities of semiconducting metal oxides for detecting vapors produced by common battery components, such as solvents, salts, or their degassing products. Our main objective is to develop sensors capable of early detection of common vapors produced by malfunctioning batteries to prevent explosions and further safety hazards. Typical electrolyte components and degassing products for the Li-ion, Li–S, or solid-state batteries that were investigated in this study include 1,3-dioxololane (C 3 H 6 O 2 ─DOL), 1,2-dimethoxyethane (C 4 H 10 O 2 ─DME), ethylene carbonate (C 3 H 4 O 3 ─EC), dimethyl carbonate (C 4 H 10 O 2 ─DMC), lithium bis(trifluoromethanesulfonyl)imide (LiTFSI), lithium nitrate (LiNO 3 ) salts in a mixture of DOL and DME, lithium hexafluorophosphate (LiPF 6 ), nitrogen dioxide (NO 2 ), and phosphorous pentafluoride (PF 5 ). Our sensing platform was based on ternary and binary heterostructures consisting of TiO 2 (111)/CuO(1̅11)/Cu 2 O(111) and CuO(1̅11)/Cu 2 O(111), respectively, with various CuO layer thicknesses (10, 30, and 50 nm). We have analyzed these structures using scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), micro-Raman spectroscopy, and ultraviolet–visible (UV–vis) spectroscopy. We found that the sensors reliably detected DME C 4 H 10 O 2 vapors up to a concentration of 1000 ppm with a gas response of 136%, and concentrations as low as 1, 5, and 10 ppm with response values of approximately 7, 23, and 30%, respectively. Our devices can serve as 2-in-1 sensors, functioning as a temperature sensor at low operating temperatures and as a gas sensor at temperatures above 200 °C. Density functional theory calculations were also employed to study the adsorption of the vapors produced by battery solvents or their degassing products, as well as water, to investigate the impact of humidity. PF 5 and C 4 H 10 O 2 showed the most exothermic molecular interactions, which are consistent with our gas response investigations. Our results indicate that humidity does not impact the performance of the sensors, which is crucial for the early detection of thermal runaway under harsh conditions in Li-ion batteries. We show that our semiconducting metal-oxide sensors can detect the vapors produced by battery solvents and degassing products with high accuracy and can serve as high-performance battery safety sensors to prevent explosions in malfunctioning Li-ion batteries. Despite the fact that the sensors work independently of the type of battery, the work presented here is of particular interest for the monitoring of solid-state batteries, since DOL is a solvent typically used in this type of batteries.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Advanced Battery Technologies Research · Advancements in Battery Materials

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

Affiliations

Department for Materials Science─Functional Nanomaterials, Faculty of Engineering, Christian-Albrechts-University of Kiel, Kaiserstraße 2, D-24143 Kiel, Germany

Department of Microelectronics and Biomedical Engineering, Center for Nanotechnology and Nanosensors, Technical University of Moldova, 168 Stefan cel Mare Avenue, MD-2004 Chişinău, Republic of Moldova

School of Chemistry, University of Leeds, Leeds LS2 9JT, United Kingdom

Department of Earth Sciences, Utrecht University, Budapestlaan 4, 3584 CD Utrecht, The Netherlands

Funding

Bundesministerium f?r Bildung und Forschung · Deutsche Forschungsgemeinschaft · EUSH and EFRE in SH · Technical University of Moldova

References (89)

Show source-provided references
1. 10.1038/451652a10.1038/451652a ↗
2. 10.1007/s10973-018-7077-210.1007/s10973-018-7077-2 ↗
3. 10.1038/s41560-018-0108-110.1038/s41560-018-0108-1 ↗
4. 10.1038/s41560-018-0130-310.1038/s41560-018-0130-3 ↗
5. Electric Vehicle Battery - Global Strategic Business Report 2023.
6. 10.1038/d41586-021-02222-110.1038/d41586-021-02222-1 ↗
7. 10.1016/j.aca.2018.09.02010.1016/j.aca.2018.09.020 ↗
8. 10.1021/acsami.5b0281610.1021/acsami.5b02816 ↗
9. 10.1021/acsami.1c0437910.1021/acsami.1c04379 ↗
10. 10.1016/j.snb.2015.10.04210.1016/j.snb.2015.10.042 ↗
11. 10.1016/j.nanoen.2021.10624110.1016/j.nanoen.2021.106241 ↗
12. 10.1021/acsami.0c1917010.1021/acsami.0c19170 ↗
13. 10.1016/j.snb.2011.06.05410.1016/j.snb.2011.06.054 ↗
14. 10.1016/j.snb.2012.07.11810.1016/j.snb.2012.07.118 ↗
15. 10.1016/j.snb.2010.09.01510.1016/j.snb.2010.09.015 ↗
16. 10.1016/j.snb.2010.01.04710.1016/j.snb.2010.01.047 ↗
17. 10.1016/j.matlet.2018.01.05610.1016/j.matlet.2018.01.056 ↗
18. 10.1016/j.ijhydene.2013.08.10710.1016/j.ijhydene.2013.08.107 ↗
19. 10.1016/j.snb.2014.04.01310.1016/j.snb.2014.04.013 ↗
20. 10.1021/acsami.2c1097510.1021/acsami.2c10975 ↗
21. 10.1021/acsami.1c1867910.1021/acsami.1c18679 ↗
22. 10.1016/j.nanoen.2023.10830110.1016/j.nanoen.2023.108301 ↗
23. 10.1021/acsanm.2c0148110.1021/acsanm.2c01481 ↗
24. 10.1002/adfm.20210855610.1002/adfm.202108556 ↗
25. 10.1021/acsanm.1c0082910.1021/acsanm.1c00829 ↗
26. 10.1016/j.mtchem.2021.10064210.1016/j.mtchem.2021.100642 ↗
27. 10.1021/acs.energyfuels.2c0112110.1021/acs.energyfuels.2c01121 ↗
28. 10.1016/j.joule.2022.02.01510.1016/j.joule.2022.02.015 ↗
29. 10.1016/j.ensm.2020.06.00410.1016/j.ensm.2020.06.004 ↗
30. 10.1002/aenm.20220364810.1002/aenm.202203648 ↗
31. 10.3390/batteries702002510.3390/batteries7020025 ↗
32. 10.1016/j.jpowsour.2014.08.02410.1016/j.jpowsour.2014.08.024 ↗
33. 10.1039/c1ee01598b10.1039/c1ee01598b ↗
34. 10.1021/cr500207g10.1021/cr500207g ↗
35. 10.1016/j.aca.2011.10.06010.1016/j.aca.2011.10.060 ↗
36. 10.1039/C5RA23635E10.1039/C5RA23635E ↗
37. 10.1139/v96-01910.1139/v96-019 ↗
38. 10.1039/D0CC01769H10.1039/D0CC01769H ↗
39. 10.1016/S0378-7753(00)00431-610.1016/S0378-7753(00)00431-6 ↗
40. 10.1016/j.electacta.2013.09.05510.1016/j.electacta.2013.09.055 ↗
41. 10.1016/j.jpowsour.2012.12.10210.1016/j.jpowsour.2012.12.102 ↗
42. 10.1002/aenm.20160016010.1002/aenm.201600160 ↗
43. 10.1021/acs.chemmater.8b0394410.1021/acs.chemmater.8b03944 ↗
44. 10.1021/nl403922u10.1021/nl403922u ↗
45. 10.1016/j.jpowsour.2006.03.05810.1016/j.jpowsour.2006.03.058 ↗
46. 10.1039/c3ra42611d10.1039/c3ra42611d ↗
47. 10.1021/acsami.0c0210310.1021/acsami.0c02103 ↗
48. 10.1016/j.snb.2016.02.08910.1016/j.snb.2016.02.089 ↗
49. 10.1016/j.mssp.2018.06.03110.1016/j.mssp.2018.06.031 ↗
50. 10.1103/PhysRevB.47.55810.1103/PhysRevB.47.558 ↗
51. 10.1103/PhysRevB.49.1425110.1103/PhysRevB.49.14251 ↗
52. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
53. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
54. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
55. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
56. 10.6028/jres.049.04410.6028/jres.049.044 ↗
57. 10.1063/1.284194110.1063/1.2841941 ↗
58. 10.1016/j.commatsci.2005.04.01010.1016/j.commatsci.2005.04.010 ↗
59. 10.1002/jcc.2057510.1002/jcc.20575 ↗
60. 10.1088/0953-8984/21/8/08420410.1088/0953-8984/21/8/084204 ↗
61. 10.1107/S002188981103897010.1107/S0021889811038970 ↗
62. 10.1016/j.cpc.2021.10803310.1016/j.cpc.2021.108033 ↗
63. 2019
64. 10.1088/0022-3719/12/22/03610.1088/0022-3719/12/22/036 ↗
65. 10.1039/D0TA03224G10.1039/D0TA03224G ↗
66. 10.1021/acsami.9b0727510.1021/acsami.9b07275 ↗
67. 10.1039/C8TA08985J10.1039/C8TA08985J ↗
68. 10.1021/acsami.9b0438510.1021/acsami.9b04385 ↗
69. 10.1039/C6TA01355D10.1039/C6TA01355D ↗
70. 10.1021/jp303096m10.1021/jp303096m ↗
71. 10.1103/PhysRev.124.34010.1103/PhysRev.124.340 ↗
72. 10.1002/jrs.125007060610.1002/jrs.1250070606 ↗
73. 10.1103/PhysRevB.55.701410.1103/PhysRevB.55.7014 ↗
74. 10.1063/1.509303710.1063/1.5093037 ↗
75. Wooten F. · 1972
76. 10.1103/PhysRevB.69.16541910.1103/PhysRevB.69.165419 ↗
77. 10.1016/j.cplett.2008.09.04210.1016/j.cplett.2008.09.042 ↗
78. 10.1149/2.0171606jes10.1149/2.0171606jes ↗
79. Pozin M. · 2019 · 8310.1016/B978-0-444-63777-2.00004-9 ↗
80. 10.1021/cr030203g10.1021/cr030203g ↗
81. 10.1002/chem.20110148610.1002/chem.201101486 ↗
82. 10.1149/1.135315810.1149/1.1353158 ↗
83. Holleman A. F. · 2001 · 719
84. 10.4271/2015-01-116610.4271/2015-01-1166 ↗
85. Lindahl C. B. · 2009 · 1
86. 10.1039/c3tc31830c10.1039/c3tc31830c ↗
87. 10.1016/j.snb.2013.05.04210.1016/j.snb.2013.05.042 ↗
88. 10.3390/s1803073510.3390/s18030735 ↗
89. 10.1002/adma.20197014810.1002/adma.201970148 ↗