Page 41 - ASME_IMECE_2019_Program

The presentation will describe relevant modeling, analysis,
design, and experimental results.
Acknowledgments: This work is currently supported by the
NSF. It is carried out in close collaboration with groups led by
Mark Dykman at Michigan State University, Daniel López at
Argonne National Labs, Oriel Shoshoni at Ben Gurion
University, Tom Kenny at Stanford University, and Kimberly
Foster at Tulane University.
Bio: Steve Shaw is Harris Professor in the Department of
Mechanical and Civil Engineering at Florida Institute of
Technology, Melbourne, Florida, USA. He is also University
Distinguished Professor Emeritus in the Department of
Mechanical Engineering and Adjunct Professor of Physics and
Astronomy at Michigan State University. He received an A.B. in
Physics and an M.S.E. in Applied Mechanics from the
University of Michigan and a Ph.D. in Theoretical and Applied
Mechanics from Cornell University. His research interests focus
on the understanding and utilization of nonlinear dynamic
behavior in engineering systems. Current applications include
the interplay of nonlinearity and noise in micro/nano-scale
resonators and the development of torsional vibration
absorbers for automotive drive-train components. Dr. Shaw
has held visiting appointments at Cornell University; University
of Michigan; Caltech; University of Minnesota; University of
California. Santa Barbara; and McGill University. He is a Fellow
of ASME and serves as an Associate Editor for the SIAM
Journal on Applied Dynamical Systems. He is recipient of the
Henry Ford Customer Satisfaction Award, the ASME Henry
Hess Award, the SAE Arch T. Colwell Merit Award, the ASME
N. O. Myklestad Award, and the ASME Thomas K. Caughey
Dynamics Award.
Track 6: Energy
6-19-1: ENERGY
Monday, November 11, 9:45AM–10:30AM
Room 255F, and the Founding Chair of the ASME DSCD Energy Systems
Calvin L. Rampton Salt Palace Convention Center
Battery State Estimation: A Critical Technology Where Data
and Models Merge Principles From Mechanics, Thermal,
Electrical, and Chemical Engineering Disciplines Merge
(IMECE2019-13997)
Anna Stefanopoulou
University of Michigan
Abstract: Battery state estimation is a critical technology for the
management and safety of lithium. Nearly three decades after
the commercialization of lithium-ion batteries and during the
year when the Noble Prize in Chemistry was awarded to the
inventors of their lightweight and rechargeable electrodes, state
estimation is a critical technology for their safe adoption in
handheld consumer electronics and electric vehicles. Managing
the potent brew of lithium ions in the large quantities necessary
for vehicle propulsion is anything but straightforward. From the
Rosetta-Philae spacecraft landing three billion miles away
from Earth to the daily commute of a hybrid electric automobile,
the battery management system (BMS) has been critical for
merging the multi-physics models and data science necessary
for the high efficiency, longevity, and safety of battery electric
vehicles.
The BMS is the brain of the battery system and is responsible
for State of Charge (SOC), State of Health (SOH) and State of
Power (SOP) estimation while protecting the cell by limiting
its power. The BMS relies on accurate prediction of complex
electrochemical, thermal and mechanical phenomena.
This raises the question of model and parameter accuracy.
Moreover, if the cells are aging, which parameters should we
adapt after leveraging limited sensor information from the
measured terminal voltage and sparse surface temperatures?
With such a frugal sensor set, what is the optimal sensor
placement? To this end, control techniques and novel sensors
that measure the cell swelling during lithium intercalation and
thermal expansion will be presented. We will conclude by
highlighting the fundamental in predicting local hot spots,
detecting internal shorts, and managing the overwhelming
energy released during a thermal runaway.
Bio: Anna Stefanopoulou is the William Clay Ford Professor
of Technology, Professor of Mechanical Engineering, and the
Director of the Energy Institute at the University of Michigan.
Her training is in Naval Architecture and Marine Engineering
(91 Diploma NTUA, Athens) and in Electrical Engineering
(94 MS, 96 PhD, UMICH, Ann Arbor). She was an assistant
professor at the University of California, Santa Barbara and
a technical specialist at Ford Motor Company.
She has been recognized as a Fellow of three different
societies; the ASME (2008), IEEE (2009), and SAE (2018).
She is an elected member of the Executive Committee of the
ASME Dynamics Systems and Control Division (DSCD) and
the Board of Governors of the IEEE Control Systems Society,
Technical Committee.
Her innovation in powertrain control technology has been
recognized by multiple awards such as the 2019 AACC Control
Engineering Practice Award, the 2017 IEEE Control System
Technology award, the 2012 College of Engineering Research
Award, the 2009 ASME Gustus L. Larson Memorial Award, a
2008 Univ. of Michigan Faculty Recognition award, the 2005
Outstanding Young Investigator by the ASME DSC division,
a 2005 Henry Russel award, a 2002 Ralph Teetor SAE
educational award, a 1997 NSF CAREER award and selected
as one of the 2002 world’s most promising innovators from
the MIT Technology Review. She was a member of the
2016 National Research Council (NRC) committee on fuel
efficient technologies and their cost effectiveness in meeting
the 2025 US national vehicle fuel economy standards. She is
working now with an NRC committee on the US light duty
vehicle fuel economy standards “beyond-2025”.
Her work has been documented in a book, 21 US patents, xxxix
340 publications (8 of which have received awards) on
estimation and control of internal combustion engines and
electrochemical processes such as fuel cells and batteries.