Anticipatory Shifting - Optimization of a Transmission Control Unit for an Automatic Transmission through Advanced Driver Assistance Systems

Salim Chaker
ITI GmbH Dresden, Germany

Michael Folie
IPG Automotive GmbH, München, Germany

Christian Kehrer
ITI GmbH Dresden, Germany

Frank Huber
IPG Automotive GmbH, München, Germany

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp15118849

Ingår i: Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015

Linköping Electronic Conference Proceedings 118:92, s. 849-854

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Publicerad: 2015-09-18

ISBN: 978-91-7685-955-1

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


By integrating system simulation with vehicle dynamics into real-time environments, it is possible to simulate the physically correct behavior of vehicle components and also adjust it to the required operating strategies depending on external factors. Multi-physics system simulation for realistic representations of powertrains and their behavior combined with dynamic driving simulation allows for optimizations of the transmission control unit for an automatic transmission by employing advanced driver assistance systems for an increased efficiency through anticipatory shifting.

Realistic load cases that are based on measured data help optimize fuel consumption and driveline dynamics with respect to the control algorithms by using variation calculations with variable transmission parameters. This works also the other way around when control algorithms are validated and optimized quickly and free of risk as part of rapid prototyping.


Automatic Transmission; Advanced Driver Assistance Systems; CarMaker; SimulationX; Modelica; FMI


P. Fritzson. Principles of Object-Oriented Modeling and Simulation with Modelica No 2.1, 2004.

ITI GmbH. SimulationX User Manual, Dresden 2013.

FMI Association. Functional Mock-up Interface, MODELISAR (070006), 2010.

B. Schick. Mission V-Process Enhancement by Integrated Vehicle Performance Evaluation within an Entire Xin- the-Loop Process, Keynote SIAT ARAI, 2013.

B. Schick, V. Leonhard u. S. Lange. Vorausschauendes Energiemanagement im virtuellen Fahrversuch. ATZ No 4: 328 – 333, 2012.

S.-A. Schneider, B. Schick, H. Palm. Virtualization, Integration, and Simulation in the Context of Vehicle Systems Engineering, embedded world 2012, 2012.

H. Palm, J. Holzmann, A.-S. Schneider, H.-M. Koegeler.Die Zukunft im Fahrzeugentwurf, Systems-Engineering-Basierte Optimierung, ATZ No 6: 512– 517, 2013.

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