Battery quality lies at the heart of major issues relating to battery safety, reliability, and manufacturability. This talk reviews the challenges and opportunities to enable battery quality at scale. First, the interplay between various battery failure modes and their numerous root causes is described. Then, which failure modes are best detected by electrochemistry, and which are not, is discussed. Finally, how improved inspection – specifically, high-throughput computed tomography (CT) – can play a role in solving the battery quality challenge is reviewed.

An interactive Q&A session follows the presentation.

Peter Attia is co-founder and chief technical officer of Glimpse. Previously, he worked as an engineering lead on some of Tesla’s toughest battery failure modes and managed a team focused on battery data analysis. Peter holds a PhD from Stanford, where he developed seminal machine learning methods for battery lifetime prediction and optimization. He has received honours such as Forbes 30u30 but has not written a bestselling book on aging.