Page 33 - ASME DSCC 2015 Program

Technical Program

Battery Thermal Management of Electric Vehicles: An optimal Control
InVITED SESSIon
2-4-2 WM7 Battery Management 2 Approach
Elijah Pierce A 1:30pm–3:30pm Contributed regular paper. DSCC2015-9723
yasaman Masoudi, ahmad Mozaffari, University of Waterloo, Waterloo,
Session Organizer: Beshaw Ayalew, Clemson University ON, Canada, nasser Azad, Waterloo University, Waterloo, ON, Canada
Session Organizer: Scott Moura, University of California, Berkeley In this investigation, the authors implement a dynamic programming-based
Session Chair: Simona onori, Clemson University Controller for optimal thermal management of electric vehicles. To ensure
Session Co-Chair: Nima Lotfi, Missouri University of Science and the authentic performance of the implemented controller, it is used for three
Technology different driving cycles. Furthermore, some comparative studies are carried
out using proportional integral-derivative controller to evaluate the perfor-
on Improving Battery State of Charge Estimation using Bulk force
mance of the applied approach.
Measurements
Invited session paper. DSCC2015-9966 lI-o Battery Aging Process: a Smart Review with Respect to the
Integration of Aging into System’s Powermanagement
Shankar Mohan, Youngki Kim, Anna G. Stefanopoulou, University of
Michigan, Ann Arbor, MI, United States Contributed regular paper. DSCC2015-9759
Nejra Beganovic, Bedatri Moulik, dirk Söffker, University of Duisburg-
Lithium-ion (Li-ion) batteries undergo physical deformation as their state-
Essen, Duisburg, Deutschland, Germany
of-charge (SOC) changes. The physical deformation causes changes in
the pressure (equivalently, force) applied at the end-plates of constrained Intensive development of hybrid electric vehicles in recent years is condi-
battery pack or module. This paper proposes the fusion of bulk force and tioned by ecological requirements reflecting in the reduction of greenhouse
battery voltage measurements to estimate the SOC in Li-ion battery packs. gas emission and by the limitation of the use of fossil fuel. Lithium-Ion Batteries
In this paper, using discrete Linear Quadratic Estimators (dLQEs), the advan- (LIBs) become unavoidable component serving as an energy storage element
tage of using force measurements in addition to voltage measurement to im- in transportation industry as well as in solar and wind energy systems. The
prove SOC estimates is quantitatively studied with simulations. It is observed problems related to battery state monitoring in hybrid electric vehicles refer to
that including force measurements can decrease the mean and standard the estimation of immeasurable degradation parameters. Thus, the measure-
deviation of SOC estimation error by 50% in some SOC intervals. ments indirectly correlated to the deterioration process are used to establish
an appropriate models and algorithms for degradation parameters calculation.
Health-Aware and user-Involved Battery Charging Management for
The contribution addresses the main issues related to LIB parameters mon-
Electric Vehicles using linear Quadratic Control
itoring as well as to the adopted control strategy providing high energy effi-
Contributed regular paper. DSCC2015-9921
ciency while maintaining as less as possible rate of component degradation.
Huazhen fang, University of Kansas, Lawrence, KS, United States, Yebin
Wang, Mitsubishi Electric Research Laboratories, Cambridge, MA, United ConTRIBuTED SESSIon
States 1-2-2 WP1 Aerospace Applications 2
George Bellows A 4:00pm–6:00pm
This paper studies control-theory-enabled charging management for battery
systems in electric vehicles (EVs). Charging is crucial for the battery perfor-
mance and life as well as a factor for EV users’ anxiety. Existing methods Session Chair: Mohammad Ayoubi, Santa Clara University
run with two shortcomings: insufficiency of battery health awareness during Session Co-Chair: Tulga Ersal, University of Michigan
charging, and failure to include the user into the charging loop. To address Shared fuzzy Control of Multiple Quadrotor uAVs With Time-
such issues, we propose to perform charging that deals with both health Dependent Delay and Bounded Control-Input Constraint
protection and user-specified charging needs or objectives. Capitalizing on
Contributed regular paper. DSCC2015-9907
the linear quadratic control theory, a set of charging strategies are devel-
oped. A simulation-based study demonstrates their effectiveness and poten- Mark Johnson, Santa Clara University, Santa Clara, CA, United States,
Mohammad Ayoubi, Santa Clara University, Department of Mechanical
tial. We expect that charging with health awareness and user involvement
Engineering, Santa Clara, CA, United States
will improve not only the battery longevity but also user satisfaction.
We propose a shared fuzzy controller for position and attitude control of
multiple quadrotor unmanned aerial vehicles (UAVs). Using the nonlinear
governing equations of motion and kinematics of a quadrotor, we develop a
Takagi-Sugeno (T-S) fuzzy model for a quadrotor. Then, we consider time-
varying delays due to wireless connection into the T-S fuzzy model. We use the
sufficient stability condition based on the Lyapunov-Krasovskii stability theorem
and the parallel distributed compensation (PDC) technique to determine the
fuzzy control law. For practical purposes, we include actuator amplitude
constraint into the design process. The problem of designing a shared fuzzy
controller is cast in the form of linear matrix inequalities (LMIs).
A feasible solution region is found in terms of maximum magnitude and rate of
time-varying delay. In the end, the stability, performance, and robustness of the 33
proposed shared fuzzy controller are examined via numerical simulation.