• Laser & Optoelectronics Progress
  • Vol. 59, Issue 18, 1810006 (2022)
Ting Xu1、*, Dahang Wan1, Zhiting Zou2, Yinfei Pan2, and Zongling Pan3
Author Affiliations
  • 1Hefei Mick Photoelectric Technology Co., Ltd., Hefei 230093, Anhui , China
  • 2School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, Anhui , China
  • 3Anhui Institute of Metrology, Hefei 230051, Anhui , China
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    DOI: 10.3788/LOP202259.1810006 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Schematic of imaging principle
    Fig. 1. Schematic of imaging principle
    Structure diagram of imaging system
    Fig. 2. Structure diagram of imaging system
    Physical picture of coating defect detection system for lithium battery electrode
    Fig. 3. Physical picture of coating defect detection system for lithium battery electrode
    Distributed processing architecture of coating defect detection system for lithium battery electrode
    Fig. 4. Distributed processing architecture of coating defect detection system for lithium battery electrode
    Image processing flow of coating defect detection for lithium battery electrode
    Fig. 5. Image processing flow of coating defect detection for lithium battery electrode
    Multithread processing structure of battery electrode coating defect detection software
    Fig. 6. Multithread processing structure of battery electrode coating defect detection software
    Detection effect of key defects in electrode coating of lithium battery
    Fig. 7. Detection effect of key defects in electrode coating of lithium battery
    Performance parameterConclusion
    Detection resolution50 μm
    Detection width661 mm
    Detection efficiency56.3 m/s
    Data processing efficiency734 Mbit/s
    Table 1. Performance evaluation results of coating defect detection system for lithium battery electrodes
    Experimentcicieieini
    i=1114, 1.0067, 0.84121
    i=2113, 0.9977, 0.84120
    i=3113, 0.99711, 1.3124
    Table 2. Accuracy experimental data of coating defect detection system for lithium battery electrodes
    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
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