GT Presentations at SAE WCX Digital Summit
June 10, 2020
We are pleased to announce our participation in the 2020 SAE WCX Digital Summit! Multiple GT presentations will be available in the on-demand session starting Tuesday, June 16:
Optimization of Fuel Economy Using Optimal Controls on Regulatory and Real-World Driving Cycles (SAE Paper 2020-01-1007)
In recent years, electrification of vehicle powertrains has become more mainstream to meet regulatory fuel economy and emissions requirements. Amongst the many challenges involved with powertrain electrification, developing supervisory controls and energy management of hybrid electric vehicle powertrains involves significant challenges due to multiple power sources involved. In this presentation, you will learn how to optimize energy management along a given route by considering certain information such as the projected vehicle route, driver behavior, and battery charge level and by optimizing powertrain controls using the Dynamic Programming approach.
A Zero-Dimensional Velocity-Composition-Frequency Probability Density Function Model for Compression-Ignition Engine Simulation (SAE Paper 2020-01-0659)
In GT-SUITE a new 0D Stochastic Reactor Model (SRM) has been implemented for compression-ignition engines. This new model is derived from the velocity-composition-frequency PDF approach of 3D combustion simulation. The fundamental idea of this model is to divide the cylinder among hundreds of particles such that it can correctly capture the in-cylinder inhomogeneity, which is essential for accurate emission prediction. In this presentation, you’ll learn how this new combustion model has been implemented in GT-SUITE and how well this model compares to 3D-CFD simulation and to experimental observations.
Calibration Procedure for Measurement-Based Fast Running Model for Hardware-in-the-Loop Powertrain Systems (SAE Paper 2020-01-0254)
The requirements set for the next-generation powertrain systems (e.g. performance and emissions) are becoming increasingly stringent with ever-shortening time-to-markets at reduced costs. To remain competitive automotive companies are progressively relying on model-driven development and virtual testing. Virtual test benches, such as HiL (Hardware-in the-Loop) simulators, are powerful tools to reduce the amount of physical testing and speed up engine software calibration process. In this presentation you’ll learn a methodology for creating and calibrating a computational model of a heavy-duty diesel engine suitable for HiL simulations that relies solely on engine dynamometer test data (does not use manufacturers’ inputs) and employs a generic builder in GT-SUITE that does not rely on a detailed simulation model.