Claytex exhibit and present at the American Modelica Conference 2018 taking place at the new Samberg Conference Center of MIT in Cambridge, MA in the Boston area.
The Modelica Conference is the main event for users, library developers, tool vendors and researchers to share their knowledge and learn about the latest scientific and industrial progress related to Modelica and to the Functional Mockup Interface (FMI). The program will cover modeling of complex physical and cyber-physical systems, as well as tools, for a wide range of research and industrial applications. All contributions are peer-reviewed and selected by the Program Committee. This conference is co-organized by NAMUG, the North American Modelica Users’ Group, and the Modelica Association.
Meet with Claytex
Hybridisation and splitting of a crank angle resolved internal combustion engine model using a mean value intake for real-time performance
This paper describes splitting a crank angle resolved three cylinder combustion engine with an air path model and a combustion model. This is to distribute the computational effort on hardware by running models on separate cores to achieve real time capability. Hardware tests show the split models are not able to achieve real time because the thermal dynamics of air path model and combustion model are highly interconnected and computing the models on separate cores will introduce delay and solution can become inaccurate and even infeasible. In order to achieve real time capability while ensuring the results are accurate (25% percent max. error), a new method is proposed, in which instead of running with a complete fluid intake and exhaust model, the combustion model runs with a mean value intake model calibrated for many operating points across the speed-load range. The results show that the combustion model running with mean value intake model is able to produce highly accurate result and real time capability is achievable. By using mean value intake model, calibration effort is significantly reduced compared to purely table-based method as the mean value model captures essential dynamics and is able to predict reliably between transition from one operating point to another. The mean value method takes into account Air Fuel Ratio (AFR) dynamics and thus calibration against AFR becomes unnecessary. Comparing to a non-mean value purely table-based method, the latter requires calibration at densely scattered operating points in order for the transition between each calibration point to be smooth enough. In calibrating the mean value model, a controller is designed to control the dynamics error to zero. This control-based method shows high efficiency compared to optimization tools as it does not depend on initial values and iteration process of the calibrating parameters. A function is created to automatically create the tables calibrated. The calibrated mean value intake model is run with a combustion model on a Concurrent test/HiL rig and shows real time capability is achieved with good accuracy. Physical engine model is built in Dymola.
Dirt Late Model Race Car Simulations with Dymola / Modelica
A multi-body vehicle dynamics model of a Dirt Late Model (DLM) car and application specific set of simulations were created to explore the available suspension adjustments relationship to handling characteristics. The set of simulation tools were built in Dymola, using the VeSyMA suite of libraries from Claytex. The Dymola models were specifically used to assess the effect of setup adjustments on handling and sensitivity to laptime changes. Even with input data of less than desirable accuracy, the simulation results proved both valuable and enlightening.
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