Unveiling the Inner Workings of Lithium-Ion Batteries with 'Computer Vision'
Originally Published 2 years ago — by Stanford University
Researchers have used computer vision, a type of machine learning, to analyze nanoscale X-ray movies of lithium-ion battery electrodes and extract pixel-by-pixel information. This method has revealed physical and chemical details of battery cycling that were previously unseen. The study has already identified a way to improve the efficiency of lithium-ion batteries by controlling the thickness of the carbon coating on electrode particles. The findings have implications for battery design and could lead to the development of better batteries faster.