GT-POWER: Mean Value and Real Time Engine Modeling – Germany

This one-day course will introduce mean value cylinder engine modeling and will focus on the method by which a detailed GT-POWER model can be converted to a mean value engine model. A mean value model uses a simplified map-based engine cylinder. This results in a model that executes much more rapidly than a model containing standard cylinder components, since the breathing and combustion processes are not calculated. Engine models which incorporate mean value cylinders are typically used in situations where fast computation speed is very important and detailed characterization of engine processes is considered relatively unimportant, such as control system design studies or long vehicle transients. The course will also include introductions to Design of Experiments (DOE) and Neural Network control capabilities in GT-SUITE, as these tools are integral to mean value modeling. Each student will have his or her own computer and will participate in the class by converting an example detailed model to a mean value model.

1. Introduction to mean value modeling
   • Mean value cylinder operation
   • Considerations in mean value modeling
   • Mean value applications including RT Hardware in the Loop (HIL) systems

2. Conversion of detailed model to mean value model
   • Mean value cylinder
   • Building “lumped” volume manifolds
   • Characterizing the detailed model using DOE
   • Exhaust energy fraction
   • Heat transfer, Pressure drop
   • Turbochargers
   • Engine friction
   • Training a neural network to control mean value cylinder

3. Running a mean value model on an RT system
   • General description of RT capabilities and hardware requirements
   • Mean value model modifications to run RT
   • Procedure to run RT

Note: This class is occuring right after the European User’s Conference. To view details and register, click here:http://www.gtisoft.com/training/conference-event.php?Id=67