Citation

Louca SS, Rideout DG, Stein JL, Hulbert GM. Int. J. Heavy Veh. Syst. 2004; 11(3-4): 209-236.

Affiliation

University of Michigan, Department of Mechanical Engineering, Automated Modeling Laboratory, Ann Arbor, MI 48109-21, United States

Copyright

(Copyright © 2004, Inderscience Publishers)

DOI

unavailable

PMID

unavailable

Abstract

The effectiveness and utility of an energy-based model reduction algorithm for two different vehicle system modeling applications are discussed. The first case study focuses on the vehicle dynamics model of a military heavy-duty tractor semi-trailer. The second case study develops, validates and reduces an integrated vehicle system model of a single-unit medium-size commercial truck composed of engine, drivetrain and vehicle dynamic subsystems. The reduced models generated by the energy-based methodology retain predictive quality, are useful for studying trade-offs involved in redesigning components and control strategies for improved vehicle performance and are less computationally intensive.