Thomas Ganslmeier

Hardware-in-the-Loop-Test von vorausschauenden Fahrerassistenzsystemen

Die neue Generation von Fahrerassistenzsystemen verwendet neben physikalischen Umfelddaten auch logische Informationen zur vorausschauenden Berechnung von Fahrsituationen. Diese Informationen stammen aus Navigationsdatenbanken, von Serviceprovidern oder aus der Vernetzung mit anderen Fahrzeugen. Fur die Absicherung derartiger Systeme an einem Hardware-in-the-Loop-Prufstand ist eine Integration dieser Daten in bestehende Testprozesse notwendig. In diesem Artikel wird aufgezeigt, wie die Audi AG gemeinsam mit der Audi Electronics Venture GmbH durch den Einsatz innovativer technischer Losungen eine Simulation derartiger Szenarien ermoglicht.

Hardware-in-the-loop test of advanced driver assistance systems

The new generation of advanced driver assistance systems uses physical environment data along with logical information for the predictive computation of driving situations. This data is obtained from navigation databases, service providers or from networks with other vehicle. It is important to integrate this information into available test processes to assure these systems in the Hardware-in-the-loop test bench. This article demonstrates how Audi AG and Audi Electronics Venture GmbH use innovative technological solutions to facilitate the simulation of such scenarios.

Simulation Process for Vehicle Applications Depending on Alternative Driving Routes Between Real-World Locations

State-of-the-art vehicle navigation systems not only offer the option of calculating the fastest or shortest route between two known locations on a digital road network, they also offer energy optimized routes as an alternative to the driver. For being able to simulate this problem, it is necessary to not only utilize a high-precision vehicle model, but also to use an exact model of the routes which have to be investigated. The environment in which the virtual vehicle is driven has to be a precise model of the real road network. In order to minimize the effort of simulation, it is essential to automate the generation process of the virtual environment. A simulation is developed in which a virtual vehicle can drive along a model of real roads. All available environment information such as speed limits, lane information, presence and position of stop signs, road curvature and inclination can be used in the simulation as if the vehicle would drive along those routes in the real world.

An approach to develop location-based efficiency systems without real test drives

The development of intelligent vehicle systems based on non-deterministic input signals of the environment, have a dramatically increased complexity. Real test drives are no longer adequate to cover all test-cases, due to costs and complexity. One way to meet this challenge is a simulated test drive. In this case the driver, the environment and the vehicle are described within simulation models. Scenarios can be reproduced exactly. Tests can be executed automatically. Based on realistic road networks, realistic positioning data can be simulated. This allows development and testing of location-based systems. Especially for electric vehicles location-based systems are of great importance. We developed a simulation framework which represents the three domains (vehicle, driver and environment) within a closed-loop simulation. Using the framework we are able to execute simulated test-drives. In order to confirm the significance of the simulated test drive for the development, we validate the quality of the simulation results with data recorded on an electric vehicle fleet test. The architecture enables to reproduce a real test drive within a closed loop simulation.