VTB Conference Overview

1
VTB Conference Overview
VTB Users and Developers Conference September
17-18, 2003 Columbia, SC

• Roger Dougal
• Dept of Electrical Engineering

2
A New Perspective
This is a gathering of many experts from many
disciplines who have worked together to create
and use the VTB software. VTB now transcends
any one research program. Contributions to its
technology and implementation come from many
directions and from many projects. It
ubiquitously appears in an ever increasing
spectrum of research endeavors. Our focus in
this conference is on the software itself and how
it can be usefully applied, rather than on any
one of the myriad of projects that use it or help
to develop it. You are welcome to contribute
knowledge and resources to further advance its
capabilities.
3
The VTB community
Consortium Core Partner Partner via
Subcontract Joint proposals Joint
projects Informal (unfunded) teaming Funding
agencies
SimSmart
Univ of Cambridge
Northeastern
University of Milan
MIT
Milan Polytechnic
Brown
UC Chico
FH
ONR
NRO
Barron Assoc
Army
Taganrog St Univ(Russia)
International Rectifier
Mississippi State
ABB
Univ Texas
SAIC
Arizona St U
Omni Power Technologies
Interactive Data Visualization
Univ Arkansas
Univ Puerto Rico/M
Florida State
Northrop Grumman Ship Systems
4
VTB Goals

• Develop the worlds most capable, flexible,
  applicable, simulator for interdisciplinary
  dynamic systems
• Provide an interactive, immersive, realtime,
  adaptable simulation environment that is
  supported on many platforms
• Support top-down design approaches, accounting
  for parameter uncertainty, partial data, complex
  multiresolutional models, many model tools
• Support incremental virtual prototyping via
  hardware in the simulation loop

5
Presentation Topics

• Towards a commercial product
• Capability developments
• Platforms, solvers
• Realtime and hardware in the loop
• System analysis methods
• System synthesis methods
• Model development tools
• Applications

6
Concepts of model resolution
Physical Process Resolution (more information)
Cross-disciplinary effects
Second order effects
First-order
Behavioral
Static
0-D
1-D
2-D
3-D
Spatial resolution (more information)
AC Steady-state
Lumped parameters
Distributed parameters
Switching average
Switching detail
Computational
Time resolution (more information)
7
Dynamic Model Order
Physical Process Resolution (more information)

• Higher resolution model
• Slower execution
• Detailed model knowledge required
• Detailed performance revealed

• Low resolution model
• Fast execution
• Partial model knowledge
• Partial performance revealed

Static
0-D
1-D
2-D
3-D
AC Steady-state
Lumped parameters
Distributed parameters
Switching average

• Users need variable model order
• During design
• During analysis

Switching detail
Computational
Time resolution (more information)
8
Multidisciplinary models
Electrical Terminals
Natural Port Across Voltage (V)Through Current
(A)
Natural Port Across Voltage (V)Through Current
(A)
Fuel Inlet
Air Inlet
Natural Port Across Pressure (Pa)Through Mass
flow (kg/s)
Natural Port Across Pressure (Pa)Through Mass
flow (kg/s)
Signal Port, Array type Fractional Concentrations
(kg/kg) Incoming heat content (J/kg)
Signal Port, Array type Fractional Concentrations
(kg/kg) Incoming heat content (J/kg)
Fuel Outlet
Air Outlet
Thermal Connection
Natural Port Across Temperature (C)Through
Power (W)
Fuel Cell
9
New Capabilities

• Scripting
• introduces concept of two separate time
  references to trigger events
• Programmable via Excel spreadsheet
• Modular solver for natural/signal systems can be
  used under Windows, Linux, Mac OS-X, including RT
  (not all cases)
• System synthesis tools
• Analysis tools

10
Example Applications
11
Interactive dynamic simulation of a fuel cell
powered HMMWV
12
Highly multidisciplinary structure of a fuel cell
powered hybrid electric vehicle
H2 storage - metal hydride
Motor Drives
Advanced Machines
Lithium Battery
PEM FC
Thermal/fluid devices
Capacitors
Mechanical System
Power Electronics
Control Algorithms
13
Probabalistic load model
Model is programmed directly from an Excel
spreadsheet
14
Electric Aircraft
Virtual Test Bed 2003 - the world's most advanced
capability for virtual prototyping of advanced
power systems
X-Plane 6.7 - the world's most comprehensive,
powerful flight simulator, and has the most
realistic flight model available for personal
computers _____________________ Source X-Plane
web-site
Propeller hub mates torque and speed with X-plane
aerodynamic model
Cosimulation interface via network connection
yields fly-able model
15
Power management in a fuel-cell-powered battery
charging station
Each battery is 4 series Li-ion cells1.5 A-hr
25-cell PEM fuel cell stack
Random initial states of charge
Simulink co-simulation
Charge Controller
Charge Controller
16
Migrate to actual hardware
Estimated and Actual States-of-Charge
Actual SOC from battery model
Fractions of Total Depth-of-discharge
SOC00.6
SOC00.5
SOC00.4
17
Thermal coupling between metal hydride and PEMFC
Sophisticated models of electrochemical system
components allow detailed study of coupling
phenomena
18
Wednesday AM
830 AM Greetings/Welcome Dougal 840 AM
Welcome from the College of Engineering White
845 AM NNR-Naval Engineering tools
Beermann-Curtin 905 AM Overview of VTB
related programs and progress Dougal 925 AM
VTB to S3D - commercialization Islam/Dougal 945
AM VXE commercialization King/Sechrest 1005
AM Break 1025 AM Security of the simulation
environment Pei 1045 AM VTB Scripting tool
Broughton 1105 AM The portable VTB solver
Leonard 1125 AM Distributed Simulation and
the Real Time Extension of VTB Figueroa/X Wu
1145 AM Processor in the simulation loop
Lentijo 1205 PM Lunch
19
Wednesday PM
105 PM Wide bandwidth power interface
Lentijo/Simin 125 PM Sim/stim interface Vallieu
145 PM Labview interface McKay 205 PM Break
225 PM HIL and distributed modeling Popov 245
PM Testing control agents using VTB Cartes 305
PM Virtual and real testing of synergetic
controls Santi 325 PM Break 345 PM Frequency
analysis methods Ponci/Monti/Shin 405 PM
Virtual system faults for training fault
identifiers Ponci 425 PM Application of VTB in
Future Energy Challenge Monti
20
Thursday AM
730 AM Continental breakfast    800 AM
 Simulation as the system spec Ericsen 820 AM
 Top-down system design in VTB Monti 840 AM
 Simulation of uncertain systems Monti 900 AM
Break 920 AM  Multitranslator, Modelica, XML
representation of models Guzik 940 AM
 User-defined models - UDD Solodovnik 1000 AM
 Paragon - defining new models Mantooth 1020
AM   Break  1040 AM  VTB in the classroom
Monti 1100 AM  Synergetic controls for electric
vehicles Kolesnikov 1120 AM  Simulation of
barge crane Palmer 1140 AM  Portable power
sources Dougal 1200 PM Lunch
21
Thursday PM
100 PM  Fuel cell modeling Vilar 120 PM
 Convection Heat Transfer and Fuel Cell Models
Kiehne/Carroll 140 PM  Thermal fluid models
Khan 200 PM  Power semiconductor device models
Santi 220 PM   Break  240 PM  Ship system
models for testing of power controls Brice 300
PM  Distributed energy in power systems Z
Wu 320 PM  Hydrodynamic Impulse Response
Functions for Ship-Water Interaction - A VTB
Approach Zhou/Rizos 340 PM  Future Outlook
for VTB Dougal