journal article·2023-08-11

How the Thermal Effect Regulates Cyclic Voltammetry of Supercapacitors

Teng Zhao, Shuangliang Zhao, Shenggao Zhou, Zhenli Xu

ACS Energy Letters· Volume 8· Issue 8
Publisher page

Abstract

Cyclic voltammetry (CV) is a powerful technique for characterizing the electrochemical properties of electrochemical devices. During charging–discharging cycles, the thermal effect can have a profound effect on its performance. However, existing theoretical models cannot clarify such an intrinsic mechanism and often give poor predictions. Herein, we propose an interfacial model for the electro-thermal coupling based on fundamentals in nonequilibrium statistical mechanics. By incorporation of molecular interactions, our model shows a quantitative agreement with experimental measurements. The integral capacitance shows a first enhanced and then decayed trend against the applied heat bath temperature. Such a relation is attributed to the competition between electrical attraction and Born repulsion via dielectric inhomogeneity, which was not well understood in previous models. In addition, as evidenced in recent experimental CV tests, our model predicts the nonmonotonic dependence of the capacitance on the bulk electrolyte density. This work demonstrates a potential pathway toward next-generation thermal regulation of electrochemical devices.
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Research context

OpenAlex topics: Supercapacitor Materials and Fabrication · Conducting polymers and applications · Molecular Junctions and Nanostructures

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

Affiliations

School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China

State Key Laboratory of Chemical Engineering and School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China

Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology and School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China

School of Mathematical Sciences, MOE-LSC, CMA-Shanghai and Shanghai Center for Applied Mathematics, Shanghai Jiao Tong University, Shanghai 200240, China

Funding

Shanghai Jiao Tong University · China Postdoctoral Science Foundation · Science and Technology Commission of Shanghai Municipality · National Natural Science Foundation of China

References (59)

Show source-provided references
1. 10.1126/science.124962510.1126/science.1249625 ↗
2. 10.1021/acsenergylett.2c0185310.1021/acsenergylett.2c01853 ↗
3. 10.1021/acsenergylett.3c0045310.1021/acsenergylett.3c00453 ↗
4. 10.1002/anie.20070489410.1002/anie.200704894 ↗
5. 10.1016/j.carbon.2005.07.02910.1016/j.carbon.2005.07.029 ↗
6. 10.1016/j.nanoen.2017.04.04010.1016/j.nanoen.2017.04.040 ↗
7. 10.1002/aenm.20190033410.1002/aenm.201900334 ↗
8. 10.1126/science.abd674910.1126/science.abd6749 ↗
9. 10.1038/s41570-017-009110.1038/s41570-017-0091 ↗
10. 10.1021/acsenergylett.7b0056810.1021/acsenergylett.7b00568 ↗
11. 10.1021/acs.chemrev.1c0039610.1021/acs.chemrev.1c00396 ↗
12. Compton R. G. · 201810.1142/q0155 ↗
13. 10.1016/j.jpowsour.2005.12.07010.1016/j.jpowsour.2005.12.070 ↗
14. 10.1016/j.jpowsour.2013.08.02410.1016/j.jpowsour.2013.08.024 ↗
15. 10.1016/j.jpowsour.2009.06.03810.1016/j.jpowsour.2009.06.038 ↗
16. 10.1038/s41467-019-08305-y10.1038/s41467-019-08305-y ↗
17. Xiong G. · 201510.1007/978-3-319-20242-6 ↗
18. 10.1016/j.jcis.2022.10.01410.1016/j.jcis.2022.10.014 ↗
19. 10.1016/j.electacta.2023.14269910.1016/j.electacta.2023.142699 ↗
20. 10.1016/j.est.2022.10643910.1016/j.est.2022.106439 ↗
21. 10.1016/j.carbon.2017.12.10110.1016/j.carbon.2017.12.101 ↗
22. 10.1002/aic.1570810.1002/aic.15708 ↗
23. 10.1002/adma.20160533610.1002/adma.201605336 ↗
24. 10.1021/acssuschemeng.1c0348310.1021/acssuschemeng.1c03483 ↗
25. 10.1038/s41467-021-24568-w10.1038/s41467-021-24568-w ↗
26. 10.1016/j.nanoen.2014.06.01510.1016/j.nanoen.2014.06.015 ↗
27. 10.1002/aenm.20180196710.1002/aenm.201801967 ↗
28. 10.1016/j.jpowsour.2020.22936810.1016/j.jpowsour.2020.229368 ↗
29. 10.1103/PhysRevLett.128.20600110.1103/PhysRevLett.128.206001 ↗
30. 10.1016/j.jpowsour.2022.23218410.1016/j.jpowsour.2022.232184 ↗
31. 10.1016/j.ces.2022.11761810.1016/j.ces.2022.117618 ↗
32. 10.1016/j.jpowsour.2022.23259610.1016/j.jpowsour.2022.232596 ↗
33. 10.1021/acsnano.9b0330310.1021/acsnano.9b03303 ↗
34. 10.1021/acs.langmuir.0c0035310.1021/acs.langmuir.0c00353 ↗
35. 10.1021/acs.jpcc.2c0145510.1021/acs.jpcc.2c01455 ↗
36. 10.1016/j.electacta.2011.12.11810.1016/j.electacta.2011.12.118 ↗
37. 10.1016/S0008-6223(00)00183-410.1016/S0008-6223(00)00183-4 ↗
38. 10.1016/S0009-2614(02)01735-910.1016/S0009-2614(02)01735-9 ↗
39. 10.1126/science.aat419110.1126/science.aat4191 ↗
40. 10.1038/nature1464710.1038/nature14647 ↗
41. 10.1146/annurev-matsci-070317-12443510.1146/annurev-matsci-070317-124435 ↗
42. 10.1126/science.113219510.1126/science.1132195 ↗
43. 10.1038/s41586-022-05671-410.1038/s41586-022-05671-4 ↗
44. 10.1016/j.nanoen.2022.10766010.1016/j.nanoen.2022.107660 ↗
45. 10.1016/j.jpowsour.2005.03.17410.1016/j.jpowsour.2005.03.174 ↗
46. 10.1016/j.ces.2021.11651310.1016/j.ces.2021.116513 ↗
47. Kreuzer H. J. · 1981
48. 10.1063/1.353797210.1063/1.3537972 ↗
49. 10.1016/j.ces.2021.11662310.1016/j.ces.2021.116623 ↗
50. 10.1002/aic.1726610.1002/aic.17266 ↗
51. Zhao, S.; Liu, Y.; Chen, X.; Lu, Y.; Liu, H.; Hu, Y. In Mesoscale Modeling in Chemical Engineering Part II; Marin, G. B., Li, J. H., Eds.; Advances in Chemical Engineering; Academic Press, 2015; Vol. 47; pp 1–83.10.1016/bs.ache.2015.10.001 ↗
52. 10.1002/aic.1071310.1002/aic.10713 ↗
53. 10.1063/1.152053010.1063/1.1520530 ↗
54. 10.1080/0026897760010295110.1080/00268977600102951 ↗
55. 10.1137/16M110383X10.1137/16M110383X ↗
56. 10.1137/19M131009810.1137/19M1310098 ↗
57. 10.1103/PhysRevLett.113.26850110.1103/PhysRevLett.113.268501 ↗
58. 10.1016/j.carbon.2009.09.06610.1016/j.carbon.2009.09.066 ↗
59. 10.1021/jz500953310.1021/jz5009533 ↗