Investigation of pre-crash simulations of automated vehicles

SAVE board

  • Internship
  • Leuven
  • Applications have closed.

Website Siemens Industry Software N.V.

Siemens Industry Software N.V., located in Leuven, is part of Siemens Digital Industry Software and provides solutions for test and simulation of mechanical and electronic systems with proven track record in the area of experimental, numerical and hybrid (mixed experimental-numerical) system modelling for noise, vibration, durability and dynamics, performing substantial in-house research on advanced methods and applications. It develops the multibody simulation software ‘Simcenter 3D Motion’ which can be used to create high-fidelity models of vehicle suspensions. Furthermore, it also develops the system simulation software ‘Simcenter Amesim’ which can be used for lower-fidelity vehicle dynamics models and modelling of vehicle systems like the drivetrain and active safety systems. Moreover, ‘Simcenter Prescan’ is also part of the Siemens DIS software portfolio. The latter can be used to create virtual driving environment and simulate sensors. All aforementioned software can be coupled together to simulate driving scenarios. When coupled with control models of advanced driving assistance systems, automated driving scenarios can be simulated.

Even though advanced driving assistance systems will improve the safety of vehicles, accidents involving automated vehicles are still anticipated. The aim of this thesis is to compare vehicle models with different levels of fidelity for pre-crash simulation in a highway scenario and in an intersection crossing scenario.

Therefore, the proposed plan for the research and development activity is as follows:
1. Familiarize with the Siemens software Simcenter 3D Motion, Amesim and Prescan
2. Study existing high-fidelity vehicle models
3. Create and correlate low fidelity model of selected high-fidelity vehicle model
4. Prepare and simulate pre-crash scenarios with ADAS
5. Compare results and draw up guidelines on vehicle models for pre-crash simulations of automated vehicles

The ideal candidate has a background in mechanical engineering with experience in vehicle dynamics. Knowledge of simplified vehicle dynamics models such as single and double track models as well as the basic principles of tire behavior. Understanding of modelling principle for engine and powertrain systems. Knowledge of Matlab/Simulink is strongly recommended. Critical thinking and independent problemsolving skills are a plus. English level: B1.

The candidate will work closely with other researchers of the Simulation 3D division working on related topics, reporting status of the work by means of short oral presentations and weekly feedback meetings.

Project duration: 6 months. Starting date: September 2019.
Siemens will cover the cost of the lodging during the internship.

Please send you CV with a short introductory email to the indicated contacts.
• Marco Grottoli
[email protected]
• Yves Lemmens
[email protected]