Öttgen, Oliver; Hiller, Manfred:

Software verification of an active automotive safety system using hardware-in-the-loop

In: ECCOMAS Thematic Conference on Advances in Computional Multybody Systems
University of Duisburg-Essen Institute of Mechatronics and System Dynamics Lotharstr. 1, 47057 Duisburg, Germany (2003)
Buchaufsatz / Kapitel / Fach: Maschinenbau
During  the  last  few  years  vehicle  safety  has  been  improved  significantly  by introducing  active  and passive automotive safety systems.  Whereas the complexity, interdependency and demands on the safety systems continuously increase, a trend to shorter development times with consistent quality occurs.  Subject of  the  considered  development process  is  the vehicle dynamics control system Electronic Stability  Program (ESP, Robert Bosch GmbH).  A challenge within the development process of complex mechatronic systems like  ESP  is  to ensure the safety requirements on the system. Thus the development of the monitoring software as a part of the ESP self-diagnosis is an important element and has to be verified systematically by tests for quality assurance  in  all  development  phases. The combination of Hardware-in-the-Loop  (HIL)  real-time  simulations  and  road tests is considered as the optimal solution for the monitoring software verification. The HIL application offers time and cost savings, reproducibility,  performance  of  life-threatening driving  maneuvers,  the  possibility  for  a test automation and the supply of state variables, which are not available in the real vehicle.  But even the best simulation environment cannot exactly represent the reality and the results are only as good as the vehicle model, whereby road tests are still indispensable.  The monitoring software is verified using a generic real- time  vehicle  model  with  one  parameter  set for a class of vehicles. The generic model is analyzed using a complex and validated vehicle model, which is based on a multibody systems approach  including  closed kinematical loops for wheel suspensions and drive train. Furthermore, alternatives to improve the real-time model by  parameter  adaptation  are discussed.  The simulation results with a tire  parameter  adaptation to compensate all modeling simplifications point out the potential to enhance the field of application.