A Model Management System (MMS) for vehicle dynamic system modeling is described, including lessons learned from a pilot implementation at Ford Motor Company. For complex vehicle systems, early phases of product development (requirements analysis and high-level conceptual design) drive innovation, cost, quality, and timing. These phases have received little attention relative to product lifecycle management. Selected system model architectures are reviewed with elements of model configuration and application to hybrid electric vehicle development. The examples establish MMS requirements, leading to a reference information model promoting collaboration, reuse, and process autonomy.

Issue Section:
Application Briefs
Keywords:
vehicle dynamics, management information systems, model-based reasoning, hybrid electric vehicles, modelling
Topics:
Modeling, Simulation, Vehicles, Architecture
1.
Rangan
,
R. M.
, and
Chadha
,
B.
,
2001
, “
Engineering Information Management to Support Enterprise Business Processes
,”
ASME J. Comput. Inf. Sci. Eng.
,
1
(
1
), pp.
32
–
40
.
2.
Zeigler, B. P., 1992, “A Systems Methodology for Structuring Families of Models at Multiple Levels of Resolution,” Proc. Conference on Variable-Resolution Modeling, CF-103-DARPA, P. K. Davis and R. Hillestad, eds., Kand Corp., Santa Monica, CA, pp. 377–408.
3.
Paredis
,
C. J. J.
,
Diaz-Calderon
,
A.
,
Sinha
,
R.
, and
Khosla
,
P. K.
,
2001
, “
Composable Models for Simulation Based Design
,”
Eng. Comput.
,
17
, pp.
112
–
128
.
4.
Belton, C., Bennett, P., Burchill, P., Copp, D., Darnton, N., Butts, K., Che, J., Hieb, B., Jennings, M., and Mortimer, T., 2003, “A Vehicle Model Architecture for Vehicle System Control Design,” 03AE-176, 2003 Int. Congress of the Society of Automotive Engineers, Detroit, MI.
5.
Buede, D. M., 2000, “The Engineering Design of Systems: Models and Methods,” Wiley New York.
6.
Jennings, M., Tiller, M., and Butts, K., 2001, “Defining a Flexible Modeling Methodology for Design and Development of Automotive Powertrain Systems,” Proc. DETC01, ASME 2001 Computers and Information in Engineering Conference, Pittsburgh, ASME, New York.
7.
Rohdin, M., 2000, “A Method for Model Based Automotive Software Development,” Proc. 12th Euromicro Conference on Real-Time Systems, Stockholm.
8.
Sinha
,
R.
,
Paredis
,
J. J.
,
Liang
,
V.
, and
Khosla
,
P. K.
,
2001
, “
Modeling and Simulation Methods for Design of Engineering Systems
,”
ASME J. Comput. Inf. Sci. Eng.
,
1
(
1
), pp.
84
–
91
.
9.
Product Sight Corporation, http://www.productsight.com/
10.
Clements, P., and Northrop, L., 2002, “Software Product Lines: Practices and Patterns,” Addison-Wesley, Reading, MA.
11.
MathWorks Automotive Advisory Board, 2001, “Controller Style Guidelines for Production Intent Development Using MATLAB®, Simulink®, and Stateflow®,” http://www.mathworks.com/products/industry/auto/maab.shtml
12.
Tarragon Enbedded Technology Ltd., “Mint—Style Checker for Simulink® and Stateflow®,” http://www.tarragon-et.co.uk/mint.html
13.
Butts, K., Bostic, D., Chutinan, A., Cook, J., Milam, B., and Wang, Y., 2001, “Usage Scenarios for an Automated Model Compiler,” Proc. Embedded Software, the First Int. Workshop, EMSOFT 2001, Tahoe City, CA, Springer-Verlag, Heidelberg, pp. 66–79.
Copyright © 2004
 by ASME
You do not currently have access to this content.