• Medientyp: E-Artikel
  • Titel: Keeping EV Lithium-Ion Batteries "Green" With CT-Scan Data Analysis
  • Beteiligte: Pinter, Pascal
  • Erschienen: ASM International, 2023
  • Erschienen in: AM&P Technical Articles
  • Sprache: Englisch
  • DOI: 10.31399/asm.amp.2023-05.p031
  • ISSN: 0882-7958
  • Schlagwörter: Mechanical Engineering ; Mechanics of Materials ; General Materials Science
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  • Beschreibung: <jats:title>Abstract</jats:title> <jats:p>Fire risk in electric vehicle batteries can be reduced by detecting flaws through nondestructive visualization. Industrial computed tomography (CT scanning) combined with advanced software that makes sense of CT-generated images, allows users to measure voids and particle sizes within electrode active material during the research and development phase, detect delamination and contamination during cell manufacturing, analyze electrical connections and electrolyte fill levels, and provide many other quality-assurance functions that were once impractical or even impossible to perform.</jats:p>
  • Zugangsstatus: Freier Zugang