Smart Learning Pilot for Electric Vehicles
SlrpEV: Smart LeaRning Pilot for Electric Vehicles - A Warren Lecture with Scott Moura
Scott Moura
Engineering Science
University of California, Berkeley
ABSTRACT: Future sustainable transportation systems will be automated, connected, and electrified. Transition to this new system requires completely new paradigms for smart infrastructure built upon data, control, and optimization. In this talk, Moura highlights SlrpEV (Smart LeaRning Research Pilot for Electric Vehicles) – a novel cyber-physical and human system research platform. SlrpEV seeks to resolve critical obstacles for public and workplace EV charging stations via novel pricing and power scheduling that learns and adapts to user preferences to minimize costs and emissions, and increase accessibility. Moura closes with broad perspectives on building a smart transportation and energy infrastructure that advances both sustainability and equity.
BIO: Scott Moura is the Clare and Hsieh Wen Shen Endowed Distinguished Professor in Civil & Environmental Engineering, Director of the Energy, Controls, & Applications Lab (eCAL), PATH Faculty Director, and Chair of Engineering Science at the University of California, Berkeley. He received the B.S. degree from the University of California, Berkeley, CA, USA, and the M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 2006, 2008, and 2011, respectively, all in mechanical engineering. From 2011 to 2013, he was a Post-Doctoral Fellow at the Cymer Center for Control Systems and Dynamics, University of California, San Diego. In 2013, he was a Visiting Researcher at the Centre Automatique et Systèmes, MINES ParisTech, Paris, France. His research interests include control, optimization, and machine learning for batteries, electrified vehicles, and distributed energy resources.
Moura is a recipient of the National Science Foundation (NSF) CAREER Award, ASME Dynamic Systems and Control Division Young Investigator Award, Carol D. Soc Distinguished Graduate Student Mentor Award, the Hellman Fellowship, the O. Hugo Shuck Best Paper Award, the ACC Best Student Paper Award (as advisor), the ACC and ASME Dynamic Systems and Control Conference Best Student Paper Finalist (as student and advisor), the UC Presidential Postdoctoral Fellowship, the NSF Graduate Research Fellowship, the University of Michigan Distinguished ProQuest Dissertation Honorable Mention, the University of Michigan Rackham Merit Fellowship, and the College of Engineering Distinguished Leadership Award.
