Earticle

초록

영어

In this study, we presented a method to inspect the mechanical defects of 4680 type lithium-ion batteries through image processing method. The raw X-ray images are filtered with CLAHE, then Radon inverse transformations are calculated to reconstruct 3D computed tomography of the battery. Using Haar-cascade, the ROI is targeted automatically, and the template matchings are applied twice. The variations of contrast between template and background show the appropriate values for detecting tabs. It was shown that the proposed algorithm can detect all the tab inside the battery and the distances between tabs. Finally, we successfully found the geometrical defects of battery.

목차

Abstract
1. 서론
2. 이차전지의 분석 방법
2.1 이차전지 분석용 CT 영상 획득 방법
2.2 이차전지 분석용 관심영역 설정 방법
2.3 이차전지의 탭 검출 방법
2.4 탭 사이의 거리 측정 방법
2.5 이차전지의 불량 판단 방법 및 결과
3. 결론
References

키워드

저자

• 오재석 [ Jea-Seok Oh | Bachelor candidate, Department of Robotics Engineering, Hoseo University ] First Author
• 이상열 [ Sang-Yeol Lee | Professor, Department of Mechanical Engineering, Hansung University ] Co-Author
• 양윤기 [ Yoon-Gi Yang | Professor, Department of Information Telecommunication Engineering, The University of Suwon ] Co-Author
• 류근호 [ Keun-Ho Rew | Professor, Department of Robotics Engineering, Hoseo University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005