ASM Powertrain

In the field of vehicle powertrains, dSPACE offers simulation packages for internal combustion engines, electrical components, fuel cell, and diverse drivetrain typologies. The simulation packages are open Simulink models that can be used to simulate all vehicle types in real time.

The models are fully integrated into the dSPACE tool chain and are typically used for hardware-in-the-loop (HIL) testing of electronic control units (ECUs). They are independent models that support all relevant phases of the model-based development process.

In addition to the simulation models, dSPACE provides a tool suite that makes using the models easier. The tool suite includes a parameterization tool (ModelDesk), a validation tool (ASM Testbench), and an instrumentation tool (ControlDesk). The tools are ready for immediate use. This means that simulation with prepared demo projects can be started directly on a dSPACE platform and in Simulink.

  • Engineers in charge of HIL testing ECUs in the area of vehicle powertrain applications
  • Engineers who validate controller algorithm designs using simulation
  • Recommended: Experience with MATLAB® and Simulink

  • Get an overview of the ASM vehicle powertrain simulation packages
  • Introduction to the dSPACE tool suite for vehicle powertrain simulation
  • Introduction to the parameterization process of the ASM vehicle powertrain models

  • ASM simulation packages
  • ModelDesk
  • ControlDesk
  • VEOS
  • MATLAB/Simulink

  • Introduction to the ASM simulation packages for vehicle powertrains
  • Introduction to the associated ControlDesk experiment and the simulation of the ASM vehicle powertrain on a dSPACE platform
  • Presentation of ASM libraries and structures of simulation models, including the simulation of a model in Simulink
  • Introduction to ModelDesk and the model parameterization process. The parameterization process includes specifying data requirements, importing data to ModelDesk, and generating model parameters using MATLAB functions (ModelDesk Processing)
  • Integration of custom models into ASM
  • Validation of the simulation behavior with ASM Testbench

DatesLocation and time
On request
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