Conference article

Towards Virtual Validation of ECU Software using FMI

Lars Mikelsons
Robert Bosch GmbH, Germany

Roland Samlaus
Robert Bosch GmbH, Germany

Download articlehttp://dx.doi.org/10.3384/ecp17132307

Published in: Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Linköping Electronic Conference Proceedings 132:33, p. 307-311

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Published: 2017-07-04

ISBN: 978-91-7685-575-1

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Connected, Automated, Electrified. These three trends in the automotive industry require rethinking of the use of simulation respectively models. The use of models for evaluation of new concepts or stimulating the unit-under-test (in HiL testing), already firmly rooted in the development process of software functions, will not be sufficient to realize visions like autonomous driving or update-over-the-air. One key enabler for such technologies is virtual validation, i.e. the validation or release of software functions in a pure virtual setup. That is, simulation is not only a tool to shorten the development cycle, but one of the key technologies to release future software functions, e.g. highly automated or autonomous driving. In this contribution a feasibility study for the validation of FMI-based virtual ECUs (vECUs) in a co-simulation setup is presented. Thereby, the powertrain and the vECU are represented by FMUs, while the tool CarMaker is used for vehicle dynamics. On the base of the gained experience requirements for the FMI standard are formulated that would allow to go for virtual validation of future software functions.

Keywords

FMI, virtual validation, ECU, vECU, autonomous driving

References

Google self-driving car project monthly report. August 2015. Henning Holzmann, Karl Michael Hahn, Jonathan Webb, and Oliver Mies. Simulation-based esc homologation for passenger cars. ATZ worldwide, 114(9):40–43, 2012.

Andreas Junghanns, Jakob Mauss, and Michael Seibt. Faster development of autosar compliant ecus through simulation. ERTS-2014, Toulouse, 2014.

Martin Krammer, Nadja Marko, and Martin Benedikt. Interfacing real-time systems for advanced co-simulation - the acosar approach.

Kilian Link, Leo Gall, Monika Mühlbauer, and Stephanie Gallardo-Yances. Experience with industrial in-house application of fmi. In Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015, number 118, pages 17–22. Linköping University Electronic Press, 2015.

Christian Ress, Dirk Balzer, Alexander Bracht, Sinisa Durekovic, and Jan Löwenau. Adasis protocol for advanced in-vehicle applications. In 15thWorld Congress on Intelligent Transport Systems, page 7, 2008.

Walther Wachenfeld and Hermann Winner. Die freigabe des autonomen fahrens. In Autonomes Fahren, pages 439–464. Springer, 2015.

H. Winner, G. Wolf, and A. Weitzel. Freigabefalle des autonomen fahrens/the approval trap of autonomous driving. VDI-Berichte, (2106), 2010.

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