Welcome to the The Battery Show and Electric & Hybrid Vehicle Technology Digital Days Conference Session Viewer. Browse and sort the growing list of sessions by day, time, pass type, topic, or format. All session times are shown in Eastern Time, except 3rd day (November 12th) EU Conference Pass sessions are in Central European Time. Check out the event Conference Page for more information related to the event schedule. Register for Digital Days and login to the event platform to begin bookmarking sessions, building your schedule, and accessing whitepapers.
Prof. Venkat Subramanian is currently the Ernest Dashiell Cockrell II Professor of Mechanical & Material Science Engineering at the University of Texas, Austin. Prof. Subramanian received his B.Tech. degree in Chemical and Electrochemical Engineering from the Central Electrochemical Research Institute (CECRI), Karaikudi, India, in 1997 and the Ph.D. degree in Chemical Engineering from the University of South Carolina, Columbia, SC, USA, in 2001. His research interests include: energy systems engineering, electrochemical engineering, computationally efficient algorithms for state-of-charge (SOC) and state-of-health (SOH) estimation of lithium-ion batteries, multiscale simulation and design of energetic materials, kinetic Monte Carlo methods, model-based battery management system for electric transportation, and renewable microgrids and nonlinear model predictive control. Prof. Subramanian was awarded the Dean's award for excellence in graduate study in 2001 for his doctoral research. He is a Fellow of the Electrochemical Society and a past Technical Editor of the Journal of the Electrochemical Society. He was also the chair of the IEEE Division of the Electrochemical Society. His codes for Lithium-ion batteries are the fastest reported in the literature and his algorithm for solving index 1 nonlinear DAEs is the most robust compared to any other algorithm reported as of today. He is also the Co-Founder and CTO of BattGenie Inc. that is working to commercialize his research on Model-based Battery Management Systems.