Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1810006(2022)
Defect Inspection of Lithium Battery Electrode Coating via Bright and Dark Field Scanning Imaging Techniques
[1] Song Y H, Yang Y X, Hu Z C. Present status and development trend of batteries for electric vehicles[J]. Power System Technology, 35, 1-7(2011).
[2] Jin T X. Current situation of power lithium ion battery[J]. Advanced Materials Industry, 72-74(2010).
[3] Zhao B Y. Coating technology and equipment for lithium ion electrodes[J]. Battery Bimonthly, 30, 56-58(2000).
[4] Hu Y H. Research on defect detection of lithium battery electrode sheet based on machine vision[D](2015).
[6] Yang D J, Lou J N. Review of lithium ion battery and its online testing technologies[J]. Chinese Journal of Power Sources, 42, 1402-1403, 1419(2018).
[7] Wang L. Defect detecting and classification system of the lithium battery pole piece based on machine vision[D](2020).
[9] Zhang H Y, Liu A D. Line-scan imaging system based on the linear array TDI-CCD camera[J]. Optics & Optoelectronic Technology, 4, 49-52(2006).
[10] Lu R S, Wu A, Zhang T D et al. Review on automated optical (visual) inspection and its applications in defect detection[J]. Acta Optica Sinica, 38, 0815002(2018).
[11] Shi C K. Research on digital LED lighting controller in machine vision[D](2010).
[12] Li Q, Zeng S G, Zheng S et al. Machine vision based detection method for surface crack of ceramic tile[J]. Laser & Optoelectronics Progress, 57, 081004(2020).
Get Citation
Copy Citation Text
Ting Xu, Dahang Wan, Zhiting Zou, Yinfei Pan, Zongling Pan. Defect Inspection of Lithium Battery Electrode Coating via Bright and Dark Field Scanning Imaging Techniques[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1810006
Category: Image Processing
Received: Jun. 30, 2021
Accepted: Jul. 23, 2021
Published Online: Aug. 29, 2022
The Author Email: Xu Ting (1073572275@qq.com)