Open Access
Intelligent quality assurance for batteries
Publication year - 2021
Publication title -
photonicsviews
Language(s) - English
Resource type - Journals
eISSN - 2626-1308
pISSN - 2626-1294
DOI - 10.1002/phvs.202170409
Subject(s) - quality assurance , lithium (medication) , quality (philosophy) , reliability engineering , production (economics) , computer science , process engineering , engineering , medicine , operations management , external quality assessment , philosophy , epistemology , economics , macroeconomics
Abstract Because of their high power density, rechargeable lithium‐ion batteries are subject to strict quality monitoring. Industrial computed tomography is increasingly being used to detect any defects before delivery or during production.