Battery Fast Charging: A Multi-Physics Model-Based Optimal Control Approach

Seminar | April 3 | 4-5 p.m. | Soda Hall, HP Auditorium, 306 Soda Hall

 Hector Perez, Joint Postdoctoral Fellow, UC Berkeley and the University of Michigan

 Electrical Engineering and Computer Sciences (EECS)

Battery systems are an enabling technology towards an electrified and sustainable future with applications that include mobile devices, transportation, and the electric grid. While battery technologies have improved, they are still expensive, under perform, and suffer from various safety issues in service. The utilization of multi-physics battery models for estimation, control, and design optimization are key to addressing such issues while safely achieving the highest possible performance with respect to charge time, power, energy, and lifetime. A thriving area of interest aimed at increasing the practicality of battery systems is fast charging. In this talk, we focus on model-based optimal charging of batteries via coupled multi-physics electrical-thermal-aging and electrochemical-thermal models. This research integrates various disciplines to obtain model-based charging protocols optimized for charge time subject to operating constraints on measurable and/or internal electrochemical variables. By constraining electrochemical variables that directly affect degradation, we gain an understanding on how to safely charge batteries at their physical limits. Through the developed optimal charging framework, we also provide insights on battery system and cell level design optimization for achieving the fastest allowable charge times in current and next generation batteries. This talk concludes with an overview of open problems and future research directions in energy systems and control.

Bio: Hector E. Perez received the B.S. degree in mechanical engineering from the California State University, Northridge, in 2010, the M.S.E. degree in mechanical engineering from the University of Michigan, Ann Arbor, in 2012, and the Ph.D. degree in systems engineering from the University of California, Berkeley, in 2016. He is currently a Joint Postdoctoral Researcher with the Energy, Controls, and Applications Laboratory at the University of California, Berkeley and the Scalable Battery Laboratory at the University of Michigan, Ann Arbor, co-advised by Professor Scott Moura and Professor Anna Stefanopoulou, respectively. He is a recipient of the Ford Foundation Predoctoral and GEM Fellowships. He has also received the American Automatic Control Council O. Hugo Schuck Best Paper Award, the American Control Conference Best Student Paper Award, the American Society of Mechanical Engineers Dynamic Systems and Control Conference (ASME DSCC) Energy Systems Best Paper Award, and the ASME DSCC Best Paper Award in the Renewable Energy Systems Session. His current research interests include modeling, estimation, optimal control, design optimization, and experimental characterization & validation of energy systems.

 jeanrichter@berkeley.edu, 510-643-8208