Unleashing the Battery: Control Theoretic Solutions for Battery Management Systems
Speaker: Scott Moura, University of California San Diego
Series: Other Events
Location: J223 Equad
Date/Time: Tuesday, March 13, 2012, 4:00 p.m. - 5:00 p.m.
Advanced estimation and control of battery systems can unlock their full potential. That is, real-time state information enables operation near the physical limitations without compromising durability. In this talk, we examine state-of-charge and state-of-health estimation in batteries. This problem is technically challenging because battery dynamics are governed by electrochemical principles, mathematically modeled by nonlinear partial differential equations (PDEs). Simultaneous state and parameter estimation is extremely challenging in nonlinear PDE models. Consequently, several new theoretical ideas are developed, integrated together, and tested. These include backstepping PDE state estimators, Padé-based parameter identifiers, nonlinear parameter sensitivity analysis, and adaptive inversion of nonlinear output functions. The end result is the first combined SOC/SOH battery estimation algorithm that identifies physical system variables via an electrochemical model, from voltage and current measurements only.
Scott Moura received the Ph.D. degree from the University of Michigan in 2011, the M.S. degree from the University of Michigan in 2008, and the B.S. degree from the University of California, Berkeley, in 2006 all in Mechanical Engineering. He is currently a postdoctoral research fellow at UC San Diego in Mechanical & Aerospace Engineering. Dr. Moura is a recipient of the National Science Foundation Graduate Research Fellowship, UC Presidential Postdoctoral Fellowship, University of Michigan Distinguished ProQuest Dissertation Honorable Mention, University of Michigan Rackham Merit Fellowship, College of Engineering Distinguished Leadership Award. He has also been nominated for the Best Student Paper Award at the 2009 ASME Dynamic Systems and Control Conference and 2011 American Control Conference. His research interests include optimal & adaptive control, PDE control, energy conversion systems, smart grid systems, and batteries.