Off-campus Michigan Tech users: To download campus access theses or dissertations, please use the following button to log in with your Michigan Tech ID and password: log in to proxy server

Non-Michigan Tech users: Please talk to your librarian about requesting this thesis or dissertation through interlibrary loan.

Date of Award


Document Type

Master's report

Degree Name

Master of Science in Mechanical Engineering (MS)

College, School or Department Name

Department of Mechanical Engineering-Engineering Mechanics

First Advisor

Bo Chen


Mean value engine modeling (MVEM) is vital for control design to test advanced internal combustion engines. dSPACE ASM (Automotive Simulation Models) Gasoline Engine model implements the same approach for engine simulation using maps for performance estimation. Although the mean value engine models provide sufficiently accurate trends, it is in many cases required to have detailed subsystem models to test individual components of the engine. Gamma Technology’s GT-POWER, a powerful 1-D detailed engine simulation commercial tool, is explored to provide detailed engine components. Although GT-POWER has multiple advantages such as modular design, high-accuracy, and user-friendly drag-and-drop approach for component design with definable boundary conditions, it provides limited control design options within itself. Therefore, the integration of detailed GT-POWER engine model with the ASM vehicle model is explored in this project. Model-based development approach was used to model, test, verify and validate the co-simulation and integration of the GT-POWER gasoline engine model into the dSPACE ASM vehicle model. The ASM gasoline engine model specifications were defined and used in GT-POWER modeling to replicate the functionality of ASM engine model using detailed components and models. The integration of the GT-POWER engine model into the ASM vehicle model was accomplished using s-function mapping and wrapper design for signal transition in order to demonstrate co-simulation and validation over the steady state speed and load conditions and finally over an FTP-75 drive cycle. A balance between the model accuracy and execution speed has to be considered according to the testing requirements. The next step to this SIL co-simulation should be similar implementation for dSPACE HIL platforms.