Systems Modeling, Integration and Control
Consumer products are complex. They are made of thousands of components and are expected to work consistently and reliably for years. SIMCenter researchers use system-level plant and control models to model interconnected systems, which accelerates the development process and results in a better product.
Engine Hot Restart Calibration
Project Sponsor: Honda R&D Americas
Automobile engine hot restart calibration requires extensive human and funding resources. Automating the calibration process reduces costs and improves the quality of the calibration.
Researchers developed a method to allow 24/7 testing on a fully automated start cart and created a set of metrics to quantitatively assess the subjective engine start quality requirements. After extensive testing, researchers determined that the automated process significantly reduced development costs.
Honda has already implemented this new calibration method into their engine development process.
Engine Performance and Fuel Economy
Auto manufacturers must enhance engine efficiency to meet strict fuel economy and emissions standards. At the same time, consumers desire more powerful engines. Efficiency can be optimized using advanced CAE software.
3-D digital modeling takes a long time to generate. To reduce development time, a 3-D/1-D coupling and quasi 3-D study was performed. The study created a greater understanding of the combustion process including air intake, injector spray, cylinder-to-cylinder variation and exhaust gas recirculation (EGR).
Model Reduction for xIL Simulations
As automotive systems become more complex and safety and performance requirements become more demanding, the amount of time and money required for automotive development processes increases.
A common solution is to use a model-based design (MBD) approach, particularly through the use of X-in-the-loop (xIL) simulation methods. MBD allows efficient workflow from offline control design using high-fidelity models to allow real-time verification and validation (V&V) using hardware-in-the-loop (HIL) simulations. It is challenging to reduce the complex non-linear high-fidelity models to real-time capable models for HIL simulation.
Researchers developed a systematic approach for model reduction in light of HIL-level computation time requirements. The approach was demonstrated for automotive transmissions.
In this approach, a high-fidelity model was gradually reduced using eigen value analysis and parametric sensitivity analysis to meet the real-time requirements while also achieving the performance requirements. To compare the different models for simulation time and performance, metrics are defined for each subsystem.
A full automatic transmission model with a hydraulic actuation circuit and dynamic torque converter has been implemented on a dSpace HIL simulator for real-time testing.