Simultaneous development and testing of CPS using an application example of an electrically driven autonomous vehicle


Motivation and approach

The complexity of Cyber Physical Systems (CPS), for SET CPS in particular electrically powered autonomous vehicles, is constantly increasing due to new applications. Especially in the automotive sector, trends such as automated driving or the development of alternative drive trains are causing a sharp increase in the requirements of the underlying systems. The aim of the project is to optimise the system with regard to a large number of target parameters such as ressource consumption, range, driving comfort and a guaranteed safety of the system. New approaches are needed to make the development processes for manufacturers and suppliers reliable as well as economical and to meet the time to market. The SET CPS project is dedicated to this topic.

Research goal

In SET CPS, intelligent simulation-based procedures are to be developed which improve and systematize the development and test process of complex CPS and increase its degree of automation. To this end, the design and testing of CPS are to be more closely interlinked in order to achieve a high degree of quality already in the early development phases. By using methods of multi-target optimization as well as Optimum Experimental Design, an optimal compromise for the system parameter set will be determined from competing design targets, which can be flexibly adapted to the situation. On the basis of this parameter space, via using the same methods critical test cases are extracted from the multitude of possible test cases and used for validation. The methods are used either interactively or automatically and integrated into the automotive development process. An optimized resource utilization is to be achieved via a scalable cluster environment. The project results will be evaluated using the example of "Development and validation of an electrically driven autonomous vehicle". In summary, the following goals will be achieved:

  •     Development of methods to improve and automate the development and test process
  •     Algorithmic interlocking of development and test to simultaneously consider optimization and test goals
  •     Efficient identification of critical test cases
  •     Reduction of development time and costs
  •     Increasing the security of CPS


Research and project partner

  • dSPACE GmbH
  • Institute for Applied Mathematics (IFIM), University of Paderborn

This project is funded by the European Union and the state of North Rhine-Westphalia.


01.03.2019 - 28.02.2022

Project number

IT-2-1-002b / EFRE-0801389

Donor agency

European Union (EU)

Project sponsor

Projektträger Jülich (PtJ) | Forschungszentrum Jülich GmbH



David Hedderich