Aluminium foil micro-defect detection method based on motion-induced eddy current using differential TMR sensor spatial position compensation
Source abstract
Abstract
Lithium-ion batteries are a key technology in the energy storage field, and aluminum foil, a common cathode current collector, can develop micro-defects that significantly affect battery performance, especially during high-speed manufacturing. Motion-induced eddy current (MIEC) sensing is effective for detecting defects in conductive materials. However, lift-off fluctuations degrade the signal-to-noise ratio (SNR), making it challenging to detect small or shallow defects. Traditional methods, such as differential sensor outputs, help reduce these fluctuations, but baseline signal deviations caused by varying relative positions between the sensor and the permanent magnet limit their effectiveness. To address this, this study proposes a spatial compensation method for differential tunnel magnetoresistance (TMR) sensors, which reduces baseline deviations caused by position differences, mitigating lift-off fluctuations and improving the SNR for micro-defect detection.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Non-Destructive Testing Techniques · Welding Techniques and Residual Stresses · Industrial Vision Systems and Defect Detection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Tsinghua University
University of Electronic Science and Technology of China
Funding
National Key Research and Development Program of China · National Natural Science Foundation of China · Beijing Natural Science Foundation
References (33)
Show source-provided references
1. 10.1016/j.est.2023.11040910.1016/j.est.2023.110409 ↗
2. 10.1016/j.seppur.2024.12662510.1016/j.seppur.2024.126625 ↗
3. 10.1016/j.est.2024.11128710.1016/j.est.2024.111287 ↗
4. 10.1016/j.apsusc.2024.15980410.1016/j.apsusc.2024.159804 ↗
5. 10.1016/j.jmatprotec.2006.12.02710.1016/j.jmatprotec.2006.12.027 ↗
6. 10.1007/s00170-010-2863-410.1007/s00170-010-2863-4 ↗
7. 10.1080/10589759.2024.231786610.1080/10589759.2024.2317866 ↗
8. 10.3389/fenrg.2021.80692910.3389/fenrg.2021.806929 ↗
9. 10.1007/s10845-022-01930-310.1007/s10845-022-01930-3 ↗
10. 10.1007/s00170-021-06592-810.1007/s00170-021-06592-8 ↗
11. 10.1016/j.powera.2020.10003510.1016/j.powera.2020.100035 ↗
12. 10.1016/j.apenergy.2020.11485710.1016/j.apenergy.2020.114857 ↗
13. 10.1016/j.ndteint.2024.10306310.1016/j.ndteint.2024.103063 ↗
14. 10.1177/0954409724126286610.1177/09544097241262866 ↗
15. 10.1016/j.nucengdes.2023.11219610.1016/j.nucengdes.2023.112196 ↗
16. 10.1016/j.measurement.2022.11230710.1016/j.measurement.2022.112307 ↗
17. 10.1016/j.ndteint.2020.10233310.1016/j.ndteint.2020.102333 ↗
18. 10.1109/TIM.2022.319927210.1109/TIM.2022.3199272 ↗
19. 10.3390/app1116765710.3390/app11167657 ↗
20. 10.32604/sdhm.2023.02255410.32604/sdhm.2023.022554 ↗
21. 10.1109/TMAG.2021.311926710.1109/TMAG.2021.3119267 ↗
22. 10.3390/s2111386210.3390/s21113862 ↗
23. 10.1016/j.ndteint.2023.10288210.1016/j.ndteint.2023.102882 ↗
24. 10.1109/TMAG.2020.301234110.1109/TMAG.2020.3012341 ↗
25. 10.1109/TIM.2023.327945710.1109/TIM.2023.3279457 ↗
26. 10.1016/j.measurement.2015.02.00310.1016/j.measurement.2015.02.003 ↗
27. 10.1109/TIM.2015.250773810.1109/TIM.2015.2507738 ↗
28. 10.1109/TIM.2019.289300910.1109/TIM.2019.2893009 ↗
29. 10.1109/TIM.2023.334780510.1109/TIM.2023.3347805 ↗
30. 10.1007/s10921-022-00891-010.1007/s10921-022-00891-0 ↗
31. 10.3233/JAE-16207610.3233/JAE-162076 ↗
32. 10.1109/JSEN.2021.304955110.1109/JSEN.2021.3049551 ↗
33. 10.1088/1367-2630/9/8/29910.1088/1367-2630/9/8/299 ↗