Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography
Premature battery drain, swelling and fires/explosions in lithium-ion batteries have caused wide-scale customer concerns, product recalls, and huge financial losses in a wide range of products including smartphones, laptops, e-cigarettes, hoverboards, cars, and commercial aircraft. Most of these pro...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-04-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/11/4/925 |
| _version_ | 1798042902166765568 |
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| author | Yi Wu Saurabh Saxena Yinjiao Xing Youren Wang Chuan Li Winco K. C. Yung Michael Pecht |
| author_facet | Yi Wu Saurabh Saxena Yinjiao Xing Youren Wang Chuan Li Winco K. C. Yung Michael Pecht |
| author_sort | Yi Wu |
| collection | DOAJ |
| description | Premature battery drain, swelling and fires/explosions in lithium-ion batteries have caused wide-scale customer concerns, product recalls, and huge financial losses in a wide range of products including smartphones, laptops, e-cigarettes, hoverboards, cars, and commercial aircraft. Most of these problems are caused by defects which are difficult to detect using conventional nondestructive electrical methods and disassembly-based destructive analysis. This paper develops an effective computed tomography (CT)-based nondestructive approach to assess battery quality and identify manufacturing-induced defects and structural deformations in batteries. Several unique case studies from commercial e-cigarette and smartphone applications are presented to show where CT analysis methods work. |
| first_indexed | 2024-04-11T22:42:04Z |
| format | Article |
| id | doaj.art-0713409eaf3b4f9cae939f30ffb57ece |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:42:04Z |
| publishDate | 2018-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0713409eaf3b4f9cae939f30ffb57ece2022-12-22T03:58:57ZengMDPI AGEnergies1996-10732018-04-0111492510.3390/en11040925en11040925Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed TomographyYi Wu0Saurabh Saxena1Yinjiao Xing2Youren Wang3Chuan Li4Winco K. C. Yung5Michael Pecht6College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCenter for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USACenter for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USACollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaNational Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, ChinaDepartment of Industrial and System Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, ChinaCenter for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USAPremature battery drain, swelling and fires/explosions in lithium-ion batteries have caused wide-scale customer concerns, product recalls, and huge financial losses in a wide range of products including smartphones, laptops, e-cigarettes, hoverboards, cars, and commercial aircraft. Most of these problems are caused by defects which are difficult to detect using conventional nondestructive electrical methods and disassembly-based destructive analysis. This paper develops an effective computed tomography (CT)-based nondestructive approach to assess battery quality and identify manufacturing-induced defects and structural deformations in batteries. Several unique case studies from commercial e-cigarette and smartphone applications are presented to show where CT analysis methods work.http://www.mdpi.com/1996-1073/11/4/925lithium-ion batteryfailure analysisX-ray computed tomographyCT scanbattery defects |
| spellingShingle | Yi Wu Saurabh Saxena Yinjiao Xing Youren Wang Chuan Li Winco K. C. Yung Michael Pecht Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography Energies lithium-ion battery failure analysis X-ray computed tomography CT scan battery defects |
| title | Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography |
| title_full | Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography |
| title_fullStr | Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography |
| title_full_unstemmed | Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography |
| title_short | Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography |
| title_sort | analysis of manufacturing induced defects and structural deformations in lithium ion batteries using computed tomography |
| topic | lithium-ion battery failure analysis X-ray computed tomography CT scan battery defects |
| url | http://www.mdpi.com/1996-1073/11/4/925 |
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