Page 47 - ASME DSCC 2015 Program

Technical Program

is developed by incorporating effects of the studied influencing dynamics. Investigation of Torque Security problems in electrified Vehicles
Results show that the integrated energy management strategy can Invited session paper. DSCC2015-9627
improve the total energy consumption of HEV by more than 6% for Jiyu Zhang, Alessandro Amodio, Bilin Aksun-Guvenc, Giorgio Rizzoni,
combined Urban Dynamometer Driving Schedule (UDDS) and Highway Ohio State University, Columbus, OH, United States, Pierluigi Pisu,
Fuel Economy Driving Schedule (HWFET)drive cycles. Clemson University, Greenville, SC, United States
MPC-Based Energy Management of a Parallel Hybrid Electric Vehicle Functional safety of hybrid electric and electric vehicles has attracted a
using Terrain Information great deal of attention among automobile industries worldwide. Torque
Invited session paper. DSCC2015-9950 security is one of the main hazards that should be considered for functional
Mohamed Wahba, Sean Brennan, The Pennsylvania State University, safety of electrified vehicles. Over the past decades, a significant number of
University Park, PA, United States accidents have been reported to be caused by unintended acceleration that
results from torque security problems. This paper investigates the factors
A parallel hybrid electric vehicle (HEV) combines the power produced
related to torque security problems in electric vehicles using the Failure
by electric machines and a combustion engine to enable improved fuel
Modes and Effect Analysis (FMEA) approach. The fault scenarios that can
economy. Optimization of the power-split algorithm managing both torque
potentially result in loss of torque security in electrified vehicles are evaluat-
sources can be readily achieved offline, but online implementation results
ed in a simulation study.
often show great deviation from expected fuel economy due to traffic, hills,
and similar effects that are not easily modeled. of these external influences, InVITED SESSIon
the road grade for a travel route is potentially known a priori given a set 2-13-1 TA7 Drilling
destination choice from the driver. To examine whether grade information Elijah Pierce A 10:00am–12:00pm
can improve the performance of a hybrid powertrain controller, we first
formulate the vehicle model as a low-order dynamic model, recognizing that Session Organizer: Dongmei Chen, University of Texas, Austin
the primary dynamics of the energy system are slow. A model predictive Session Organizer: Mitch Pryor, University of Texas, Austin
control (MPC) strategy utilizing the terrain data is then developed to obtain a Session Chair: Dongmei Chen, The University of Texas at Austin
time-varying power split between the combustion engine and the electrical Session Co-Chair: Madhu Vadali, Halliburton
machine. Simulation results of the HEV model over multiple standard drive
cycles, with different terrain profiles and different cost functions, are present- a Simplified gas-Liquid flow Model for kick Mitigation and control
ed. Testing of the MPC performance compared to Argonne National Lab’s During Drilling operations
powertrain simulation software Autonomie shows that the MPC strategy Invited session paper. DSCC2015-9791
utilizing terrain data gives an improvement of up to 2.2% in fuel economy ulf Jakob flø Aarsnes, ole Morten Aamo, Norwegian University of
with respect to the same controller without terrain information, on the same Science and Technology, Trondheim, OO, Norway, Adrian Ambrus,
route. Ali Karimi Vajargah, Eric van oort, University of Texas at Austin, Austin,
TX, United States
effective Brake Torque allocation in regenerative Braking System
Considering Shaft Vibration using Model Predictive Control Real-time estimation of annular pressure profile and formation pressure is
Invited session paper. DSCC2015-9996 crucial for the execution and planning of a well control operation, especially
when drilling formations with narrow pore and fracture pressure margins. A
Bhushan naik, Taehyun Shim, University of Michigan-Dearborn, Dearborn,
MI, United States simple transient multi-phase simulator, capable of accurately representing
gas and liquid dynamics while minimizing complexity and computational
Effective Brake Torque Allocation in Regenerative Braking System
requirements, is highly desirable for real-time kick mitigation and control
Considering Shaft Vibration Using Model Predictive Control
applications. Such a simulator is presented here in the form of a coupled
An optimal Energy Management System for Electric Vehicles ODE-PDE model composed of a first order ODE and a first order hyperbolic
Hybridized With Supercapacitor PDE. This model is shown to retain the dominating two-phase dynamics en-
Contributed regular paper. DSCC2015-9888 countered during gas kick incidents. As a particular application, we demon-
strate the use of the model in design of switched control algorithms for kick
Parisa Golchoubian, nasser Azad, Waterloo University, Waterloo, ON,
Canada handling in a Managed Pressure Drilling setting. A Recursive Least Squares
algorithm is employed for estimation of unknown model parameters.
In this study, the potential merits of integrating a supercapacitor into an
electric vehicle (EV), namely a Toyota RAV4 EV, is investigated. In particular,
the impacts of energy management system (EMS) with a buffer scheme and
a dynamic programming (DP)-based control law on the vehicle performance
characteristics are examined and compared to the vehicle with no super-
capacitor in use. While the simulation results show improvements in the
vehicle’s driving range and heat loss for the both considered EMSs, the DP-
based controller significantly outperforms the buffer policy. The investiga-
tions also demonstrate promising results regarding the use of supercapaci-
tors in EVs, contributing to their future widespread market presence.
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