journal article·2024-09-18

Structural Optimization of Polyimide-Film Humidity Sensors for New Energy Vehicles

Wentian Wang, Jie Zou, Yongjian Ni, Kaige Yu, Xinxin Yan, Jiawen Yin, Wanlei Gao, Daidai Chen, Qinghui Jin, Jiawen Jian

ACS Applied Materials & Interfaces· Volume 16· Issue 37
Publisher page

Abstract

This paper presents a comprehensive study of the structural optimization of polyimide-film (PI-film) capacitive humidity sensors, with a focus on enhancing their performance for application in new energy vehicles (NEVs). Given the critical role of humidity sensors in ensuring the safety and efficiency of vehicle operations─particularly in monitoring lithium-ion battery systems─the study explores the intricate relationship between the interdigitated electrode (IDE) dimensions and the PI-film thickness to optimize sensor responsiveness and reliability. Through a combination of COMSOL Multiphysics simulations (a powerful finite element analysis, solver, and simulation software) and experimental validation, the research identifies the optimal geometrical combination that maximizes the sensitivity and minimizes the response time. The fabrication process is streamlined for batch preparation, leveraging the spin-coating process to achieve consistent and reliable PI films. Extensive characterizations confirm the superior morphology, chemical composition, and humidity-sensing capabilities of the developed sensors. Practical performance tests further validate their exceptional repeatability, long-term stability, low hysteresis, and excellent selectivity, underpinning their suitability for automotive applications. The final explanation of the sensing mechanism provides a solid theoretical foundation for observed performance improvements. This work not only advances the field of humidity sensing for vehicle safety but also offers a robust theoretical and practical framework for the batch preparation of PI-film humidity sensors, promising enhanced safety and reliability for NEVs.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Advanced Sensor and Energy Harvesting Materials · Advanced Battery Technologies Research

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

Affiliations

Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China

State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China

Ningbo Joyson Advanced Energy Research Institute Co., Ltd., Ningbo 315211, China

Funding

Natural Science Foundation of Chongqing Municipality · Ningbo University · Zhejiang Provincial Basic Public Welfare Research Program Project · Ningbo Key Research and Development Project

References (57)

Show source-provided references
1. 10.1002/adma.20220876610.1002/adma.202208766 ↗
2. 10.1016/j.snb.2022.13303910.1016/j.snb.2022.133039 ↗
3. 10.1007/s40820-022-00895-510.1007/s40820-022-00895-5 ↗
4. 10.1016/j.snb.2019.01.16210.1016/j.snb.2019.01.162 ↗
5. 10.1016/j.nanoen.2022.10759110.1016/j.nanoen.2022.107591 ↗
6. 10.1038/s41378-021-00324-410.1038/s41378-021-00324-4 ↗
7. 10.1016/j.rser.2021.11143710.1016/j.rser.2021.111437 ↗
8. 10.1007/s41918-021-00109-310.1007/s41918-021-00109-3 ↗
9. 10.1016/j.est.2022.10640210.1016/j.est.2022.106402 ↗
10. 10.1109/TIM.2019.292143810.1109/TIM.2019.2921438 ↗
11. 10.1016/j.snb.2003.12.06010.1016/j.snb.2003.12.060 ↗
12. 10.1021/acsami.9b1758410.1021/acsami.9b17584 ↗
13. 10.1016/j.snb.2020.12769410.1016/j.snb.2020.127694 ↗
14. 10.1038/s41378-019-0075-010.1038/s41378-019-0075-0 ↗
15. 10.1016/j.snb.2004.05.01210.1016/j.snb.2004.05.012 ↗
16. 10.1109/JPROC.2004.82660310.1109/JPROC.2004.826603 ↗
17. 10.1016/j.snb.2010.11.01610.1016/j.snb.2010.11.016 ↗
18. 10.1002/adfm.20190223410.1002/adfm.201902234 ↗
19. 10.1109/LED.2022.315763310.1109/LED.2022.3157633 ↗
20. 10.1016/S0925-4005(03)00423-410.1016/S0925-4005(03)00423-4 ↗
21. 10.1021/acssensors.7b0019910.1021/acssensors.7b00199 ↗
22. 10.1109/TIM.2020.300490410.1109/TIM.2020.3004904 ↗
23. 10.1021/acsami.8b1890410.1021/acsami.8b18904 ↗
24. 10.1016/j.snb.2022.13143810.1016/j.snb.2022.131438 ↗
25. 10.1021/acsami.2c2049910.1021/acsami.2c20499 ↗
26. 10.1016/j.snb.2021.13113610.1016/j.snb.2021.131136 ↗
27. 10.1002/adma.20170207610.1002/adma.201702076 ↗
28. 10.1021/acsami.9b0570910.1021/acsami.9b05709 ↗
29. 10.1021/acsami.1c2091810.1021/acsami.1c20918 ↗
30. 10.1016/j.progpolymsci.2012.02.00510.1016/j.progpolymsci.2012.02.005 ↗
31. 10.1007/BF0265667110.1007/BF02656671 ↗
32. 10.1109/T-ED.1985.2210410.1109/T-ED.1985.22104 ↗
33. 10.1007/BF0252301210.1007/BF02523012 ↗
34. 10.1016/S0925-4005(97)00157-310.1016/S0925-4005(97)00157-3 ↗
35. 10.1016/j.snb.2008.08.03410.1016/j.snb.2008.08.034 ↗
36. 10.1016/j.snb.2009.11.05410.1016/j.snb.2009.11.054 ↗
37. 10.1021/acsami.1c2483310.1021/acsami.1c24833 ↗
38. 10.1016/S0925-4005(98)00128-210.1016/S0925-4005(98)00128-2 ↗
39. 10.1016/0031-8914(65)90045-510.1016/0031-8914(65)90045-5 ↗
40. 10.1109/19.49278810.1109/19.492788 ↗
41. 10.1109/JSEN.2023.327677410.1109/JSEN.2023.3276774 ↗
42. Haas D. E. · 2000 · 3943 · 28010.1117/12.384348 ↗
43. 10.1063/1.32535710.1063/1.325357 ↗
44. 10.1063/1.172330010.1063/1.1723300 ↗
45. 10.1016/j.ensm.2017.05.01310.1016/j.ensm.2017.05.013 ↗
46. 10.1021/ma60076a01110.1021/ma60076a011 ↗
47. 10.1016/j.polymer.2007.02.06110.1016/j.polymer.2007.02.061 ↗
48. 10.1002/pola.1992.08030030910.1002/pola.1992.080300309 ↗
49. 10.1016/j.joule.2020.05.01610.1016/j.joule.2020.05.016 ↗
50. 10.3390/batteries702002510.3390/batteries7020025 ↗
51. 10.1039/C3RA45748F10.1039/C3RA45748F ↗
52. 10.1021/acsanm.3c0562810.1021/acsanm.3c05628 ↗
53. 10.1038/s41378-022-00372-410.1038/s41378-022-00372-4 ↗
54. De Grotthuss C. J. T. · Ann. Chim. · 1805 · 58 · 5473
55. 10.1166/sl.2005.04510.1166/sl.2005.045 ↗
56. 10.1016/S0925-4005(01)00672-410.1016/S0925-4005(01)00672-4 ↗
57. 10.1016/j.snb.2016.04.11010.1016/j.snb.2016.04.110 ↗