Optimal Model-Based Decomposition of Powertrain System Design

[+] Author and Article Information
N. F. Michelena, P. Y. Papalambros

Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, 2250 G. G. Brown Building, Ann Arbor, MI 48109-2125

J. Mech. Des 117(4), 499-505 (Dec 01, 1995) (7 pages) doi:10.1115/1.2826710 History: Received May 01, 1995; Revised July 01, 1995; Online December 11, 2007


Optimal design of large engineering systems modeled as nonlinear programming problems remains a challenge because increased size reduces reliability and speed of numerical optimization algorithms. Decomposition of the original model into smaller coordinated submodels is desirable or even necessary. The article presents a methodology for optimal model-based decomposition of design problems, whether or not initially cast as optimization models. The overall model is represented by a hypergraph that is optimally partitioned into weakly-connected subgraphs satisfying partitioning constraints. The formulation is robust enough to account for computational demands and resources, and the strength of interdependencies between the design relations contained in the model. This decomposition methodology is applied to a vehicle powertrain system design model consisting of engine, torque converter, transmission, and wheel-tire assemblies, with 87 design relations and 119 design and state/behavior variables.

Copyright © 1995 by The American Society of Mechanical Engineers
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