Abstract
<div class="section abstract"><div class="htmlview paragraph">Computed Tomography (CT) has become a potent instrument for non-invasive assessment of battery cell integrity, providing detailed insights into their internal structure. The present study explores the capabilities and advantages of employing CT for cell characterization through a systematic evaluation from various parameters. The evaluation results will be based on real-world experiments conducted on a standard battery cell, assessing the CT system’s ability to provide precise internal measurements, detect defects, and ensure the overall integrity of the cell. We outline a comprehensive framework that includes criteria such as system specifications, image quality, software capabilities, maintenance, service, and cost-effectiveness. This framework serves as a valuable guide for battery researchers and quality control professionals, enabling them to make informed decisions when selecting the most suitable CT solution for battery cell characterization, quality assessment, and failure analysis.</div></div>
Reference18 articles.
1. Cantatore , A. and Müller , P. Introduction to Computed Tomography Manufacturing Engineering Department of Mechanical Engineering Technical University of Denmark March 2011
2. Neuser , E. , Suppes , A. 2007
3. Ojha , M. , Le Houx , J. , Mukkabla , R. , Kramer , D. et al. Lithium Titanate/Pyrenecarboxylic Acid Decorated Carbon Nanotubes Hybrid-Alginate Gel Supercapacitor Electrochim Acta 309 2019 253 263
4. Ostadi , H. , Rama , P. , Liu , Y. , Chen , R. et al. 3D Reconstruction of a gas diffusion layer and a microporous layer J Membr Sci 351 1–2 2010 69 74
5. Yan , B. , Lim , C. , Yin , L. , and Zhu , L. Three Dimensional Simulation of Galvanostatic Discharge of LiCoO2 Cathode Based on X-Ray Nano-CT Images J Electrochem Soc 159 10 2012 A1604 A1614