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MTZ industrial

, Volume 4, Issue 1, pp 40–45 | Cite as

Design of Experiments in Large Diesel Engine Optimisation

  • Sven Fritz
  • Harald Hötzendorfer
  • Michael Koller
Development Testing

Simulation has considerably reduced the time needed for hot engine testing. By determining and optimising procedures which still need to be performed on the test bed, AVL and MTU use design of experiment methodology to precisely tailor test strategies to the targeted data. Reductions in fuel consumed, emissions released into the atmosphere and expensive test bed occupancy result.

Optimum use of test bed time

The application of Design of Experiment (DoE) methods for the efficient population of control maps has been established as standard practice for the calibration of large engines in the power range from 270 kW to 7600 kW. The use of calibration and optimisation tools, such as the CAMEO application from AVL, support the creation of efficient test programmes; the automated execution of test plans on engine test beds; the subsequent evaluation of measured data; and the population of the maps of the electronic control unit (ECU).

The data models created during the evaluation process not...

Keywords

Electronic Control Unit Test Space Boost Pressure Rail Pressure Peak Cylinder Pressure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. [1]
    Fritz, S.; Gietzelt, C.: Effiziente Anwendung von Optimierungs- und Automatisierungsmethoden bei der MTU Friedrichshafen GmbH/Tognum AG. 3. Internationales Symposium für Entwicklungsmethodik 2009, WiesbadenGoogle Scholar
  2. [2]
    Wintruff, I.; Zitzler, G.; Rall, H.: Die nächste Generation der MTU-Motorenbaureihe 4000 — Zukunftsweisende Antriebstechnologie für Lokomotiven und Triebzüge. 15. Aufladetechnische Konferenz 2010, DresdenGoogle Scholar
  3. [3]
    Hametner C.; Jakubek S.: Local model network identification for online engine modelling. In: Information Sciences, Volume 220, 2013, pp. 210–22CrossRefGoogle Scholar
  4. [4]
    Hametner C.; Jakubek S.; Keuth N.; Pflügl H.: Dynamic Engine Modelling Using Local Model Networks, 6th Conference: Design of Experiments (DoE) in Engine Development 2011, BerlinGoogle Scholar

Copyright information

© Springer Fachmedien Wiesbaden 2014

Authors and Affiliations

  • Sven Fritz
    • 1
  • Harald Hötzendorfer
    • 2
  • Michael Koller
    • 1
  1. 1.MTU Friedrichshafen GmbHFriedrichshafenGermany
  2. 2.AVL List GmbHGrazAustria

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