T4: State of Health Determination of Lithium-Ion Batteries: Mechanistic Modeling Approach
Instructor: David Anseán, University of Oviedo, Spain
Abstract: The tutorial will first cover the fundamentals of lithium-ion batteries to gain the required knowledge on cell degradation mechanisms. Then, we will provide the necessary tools, concepts and best practices to both carry out the battery laboratory testing for in-situ aging mode identification and the battery model construction. We then present how linking battery testing data with reconstructed modeling allows us to decipher both qualitatively and quantitatively the underpinning aging modes ongoing on a given battery. These findings lead to battery diagnosis and prognosis. The last part will be interactive and feature live analysis using Matlab®-based toolbox, specifically designed to simplify the use of these techniques, help diagnose the Stat of Health and identify and quantify the underlying degradation modes. Attendees will be able to adopt a pro-active attitude during a hands-on toolbox demonstration, as part of this short course. See attached outline for additional information.
B
io: David Anseán received the M.Eng. degree from the University of Granada, (Spain), in 2007, and the Ph.D. degree (with honors) from the University of Oviedo, (Spain), in 2015, both in electronics engineering.
Before pursuing his PhD, he gained international industry experience (Basingstoke, U.K., and Berkeley, CA, USA) in technological companies. As a doctoral student, he was the recipient of a research fellowship stay at the Electrochemical Power Systems Laboratory, at the University of Hawaii, USA, which he later joint as a Postdoctoral Fellow, to work in Dr. Dubarry’s group on advanced diagnosis and prognosis techniques on lithium-ion batteries on.
Since 2016 he is an Assistant Professor at the University of Oviedo, where he is the instructor of undergraduate and graduate courses including power electronics, digital integrated circuits, and embedded systems. His research interests include lithium-ion battery degradation mechanisms analysis via non-invasive methods, battery testing and characterization, and design of battery fast charging.
In 2018 and in 2019 he was the recipient of Visiting Scholar Research Fellowships and joined the Institute for Power Electronics and Electrical Drives (ISEA) at RWTH Aachen University (Germany), and the Electrochemical Power Systems Laboratory, at the University of Hawaii, (USA), respectively.