Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography

dc.contributor.authorWu, Yi
dc.contributor.authorSaxena, Saurabh
dc.contributor.authorXing, Yinjiao
dc.contributor.authorWang, Youren
dc.contributor.authorLi, Chuan
dc.contributor.authorYung, Winco K. C.
dc.contributor.authorPecht, Michael
dc.date.accessioned2023-11-20T21:40:09Z
dc.date.available2023-11-20T21:40:09Z
dc.date.issued2018-04-13
dc.description.abstractPremature 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.
dc.description.urihttps://doi.org/10.3390/en11040925
dc.identifierhttps://doi.org/10.13016/dspace/hesl-ca0o
dc.identifier.citationWu, Y.; Saxena, S.; Xing, Y.; Wang, Y.; Li, C.; Yung, W.K.C.; Pecht, M. Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography. Energies 2018, 11, 925.
dc.identifier.urihttp://hdl.handle.net/1903/31467
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtA. James Clark School of Engineeringen_us
dc.relation.isAvailableAtMechanical Engineeringen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectlithium-ion battery
dc.subjectfailure analysis
dc.subjectX-ray computed tomography
dc.subjectCT scan
dc.subjectbattery defects
dc.titleAnalysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography
dc.typeArticle
local.equitableAccessSubmissionNo

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