Real-Time Models for Vehicle Development
- Open MATLAB®/Simulink® models
- HIL simulation with dSPACE Simulator
- Offline simulation with dSPACE VEOS® and MATLAB/Simulink
- Turn-key solutions and worldwide support
Application Areas and Use Cases
The Automotive Simulation Models (ASM) are open Simulink models for the real-time simulation of automotive applications. The models are used for model-based function development and in ECU tests on a hardware-in-the-loop (HIL) simulator.
Application Area: Combustion Engines
The ASM engine models are ideal for developing and testing engine and exhaust gas aftertreatment ECUs. They simulate a combustion engine, including all the necessary components, as a controlled system for the ECUs. There are models for diesel and gasoline engines with different injection systems and exhaust gas aftertreatment systems. The real-time simulations can be performed with mean-value models or with physical models.
Application Area: Vehicle Dynamics
The ASM vehicle dynamics models provide an excellent basis for developing and testing vehicle dynamics ECUs, such as ESP, steering and active damping. They are ideal for vehicle dynamics investigations in early development phases. Models for passenger vehicles, trucks and trailers are available. A user interface lets users configure the vehicles and define maneuvers and roads graphically.
Application Area: Electrical Components
Vehicle electrical systems, electric drives and inverters, as well as starter batteries and high-voltage batteries, are all virtualized precisely by the simulation model for electric components. The model supports tasks such as developing and testing hybrid ECUs, battery management systems and indicator light controls. Users can parameterize the modeled components graphically to exactly fit the real controlled system exactly.
Driver Assistance Systems
Application Area: Driver Assistance Systems
A comprehensive traffic model with road users and environmental objects is available for developing and testing driver assistance systems. Different sensor models in the simulated test vehicle detect the other road users and also the static and dynamic objects in the virtual environment. The traffic scenarios and the environment are easily defined via graphics features.