Generating proper dynamic models for truck mobility and handling
AuthorLouca, Loucas S.
Rideout, D. G.
Stein, J. L.
Hulbert, G. M.
SourceInternational Journal of Heavy Vehicle Systems
Google Scholar check
MetadataShow full item record
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.
Showing items related by title, author, creator and subject.
Louca, Loucas S.; Stein, J. L.; Hulbert, G. M. (2010)In recent years, algorithms have been developed to help automate the production of dynamic system models. Part of this effort has been the development of algorithms that use modeling metrics for generating minimum complexity ...
Ersal, T.; Fathy, H. K.; Rideout, D. G.; Louca, Loucas S.; Stein, J. L. (2008)A dynamic system model is proper for a particular application if it achieves the accuracy required by the application with minimal complexity. Because model complexity often-but not always-correlates inversely with simulation ...
Sendur, P.; Stein, J. L.; Peng, H.; Louca, Loucas S. (American Society of Mechanical Engineers (ASME), 2002)Dynamic models of physical systems with physically meaningful states and parameters have become increasingly important, for design, control and even procurement decisions. The successful use of models in these contexts ...