Wednesday, March 3, 2021 - 12:00pm to 12:55pm
Event Calendar Category
Uncategorized
Speaker Name
Scott Moura
Affiliation
University of California, Berkeley
Zoom meeting id
924 4375 3070
Join Zoom meeting
https://mit.zoom.us/j/92443753070
Abstract
Future sustainable transportation systems will be automated, connected, and electrified. This transition requires completely new paradigms for smart infrastructure built upon data, control, and optimization. In this talk, we highlight two projects on this theme: The ARPA-E NEXTCAR project and the SlrpEV project. The NEXTCAR project seeks to reduce vehicle energy consumption by 20% by leveraging connectivity (i.e. data) and automation (i.e. control). We specifically highlight theory and on-road experiments of eco-driving through signalized intersections that leverage infrastructure-to-vehicle communication. SlrpEV (Smart LeaRning Research Pilot for Electric Vehicles) seeks to resolve critical obstacles for public & workplace EV charging stations via novel pricing and power scheduling that learns and adapts to user preferences to minimize costs, emissions, and increase accessibility. We close with broad perspectives on building a smart transportation and energy infrastructure that advances both sustainability and equity.
Biography
Scott Moura is the Clare and Hsieh Wen Shen Endowed Distinguished Professor in Civil & Environmental Engineering and Director of the Energy, Controls, & Applications Lab (eCAL) at the University of California, Berkeley. He is also a faculty member at the Tsinghua-Berkeley Shenzhen Institute. 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. Dr. Moura is a recipient of the National Science Foundation (NSF) CAREER 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.