Ultrasonic Scanning for Lithium-ion Battery Inspection
DOI:
https://doi.org/10.54097/fcis.v5i2.13149Keywords:
Ultrasonic Scanning, Lithium-ion Battery, InspectionAbstract
With the rapid development of electric vehicles, energy storage and other fields, the application of lithium-ion batteries is becoming more and more widespread. As a result, the testing technology of lithium-ion batteries has also had higher requirements. Ultrasonic scanning, as a non-destructive testing technique, has good application prospects for lithium-ion battery inspection. In this paper, we summarize the research progress of the application of ultrasonic scanning in lithium-ion battery inspection in recent years from three aspects: principle, method and result, and prospect the development of the application of ultrasonic scanning in lithium-ion battery inspection.
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References
Zhe Deng. Ultrasonic Scanning Imaging Technology of Lithium-Ion Battery and Its Application.2023, Huazhong University of Science and Technology, PhD dissertation.
Huang Z, Zhou Y, Deng Z, et al. Precise State-of-Charge Mapping via Deep Learning on Ultrasonic Transmission Signals for Lithium-Ion Batteries[J]. ACS Applied Materials & Interfaces, 2023, 15(6): 8217-8223.
Cui H, Ren D, Yi M, et al. Operando monitoring of the open circuit voltage during electrolyte filling ensures high performance of lithium-ion batteries[J]. Nano Energy, 2022, 104: 107874.
Hsieh A G, Bhadra S, Hertzberg B J, et al. Electrochemical-acoustic time of flight: in operando correlation of physical dynamics with battery charge and health[J]. Energy & environmental science, 2015, 8(5): 1569-1577.
Gold L, Bach T, Virsik W, et al. Probing lithium-ion batteries' state-of-charge using ultrasonic transmission–Concept and laboratory testing[J]. Journal of Power Sources, 2017, 343: 536-544.
Wu Y, Wang Y, Yung W K C, et al. Ultrasonic health monitoring of lithium-ion batteries[J]. Electronics, 2019, 8(7): 751.
Meng K, Chen X, Zhang W, et al. A robust ultrasonic characterization methodology for lithium-ion batteries on frequency-domain damping analysis[J]. Journal of Power Sources, 2022, 547: 232003.
Huang Z, Zhou Y, Deng Z, et al. Precise State-of-Charge Mapping via Deep Learning on Ultrasonic Transmission Signals for Lithium-Ion Batteries[J]. ACS Applied Materials & Interfaces, 2023, 15(6): 8217-8223.
Bommier C, Chang W, Lu Y, et al. In operando acoustic detection of lithium metal plating in commercial LiCoO2/graphite pouch cells[J]. Cell Reports Physical Science, 2020, 1(4).
Appleberry M C, Kowalski J A, Africk S A, et al. Avoiding thermal runaway in lithium-ion batteries using ultrasound detection of early failure mechanisms[J]. Journal of Power Sources, 2022, 535: 231423.


