The drivetrain concept that most promises to meet the increasing demands on fuel economy and emission reduction, while still being fun-to-drive, is the hybrid electric powertrain. The combination of well-known state-of-the-art combustion engines together with powerful electric motors and storage devices in various configurations gives customers remarkable fuel savings. However, it also involves a great increase in system complexity. Handling multiple technical domains such as mechanics, thermodynamics, chemistry, electrics and control engineering presents great challenges for development and test engineers. This article describes some of these challenges and possible solutions for hybrid electrical vehicles test systems, with a special focus on electric motor simulation for hardware-in-the-loop (HIL) test benches. HIL as a testing process has become an industry standard for ECU testing and validation. But for accurate simulation of hybrid electrical powertrains, new demands have to be met on both sides of a HIL system, the electrical interface to the ECUs and the real-time-capable simulation models. The focus of the paper will be on how to enable an accurate simulation of e-drive behavior in real-time application. FPGA based simulation models covering several non-linear effects such as current dependencies on motor inductivity and magnetic flux will be discussed. To ensure a proper parameterization of this highly non-linear effect a parameterization interface between dSPACE e-drive motor models and JMAG-RT from JSOL is presented. JMAG-RT will allow engineers to use high fidelity machines models in HIL FPGA hardware systems. Based on this connection of simulation tools a more detailed implementation of the rotor angle dependency on inductivity and magnetic flux can be presented as an outlook.
Hardware-in-the-Loop Simulation of Hybrid Electrical Vehicles Based on Parameterization with FEM Based Simulation Tools
Hardware-in-the-Loop-Simulation von Hybridfahrzeugen unter Verwendung von Parameterdaten aus einem FEM-basierten Simulationsprogramm
2012
18 Seiten, 13 Bilder, 7 Quellen
Conference paper
Storage medium
English
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