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Gesellschaft für Industrieforschung mbH
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Improved Comfort Analysis and Drivability Assessment by the Use of an Extended Power Train Model for Automatic Transmissions

SAE International Journal of Passenger Cars - Mechanical Systems

Gesellschaft für Industrieforschung mbH-Sigrid Klinger
AVL LIST GmbH-Klaus Meitz
  • Journal Article
  • 2012-01-1529
Published 2012-06-13 by SAE International in United States
The new generation of automatic transmissions is characterized by a compact and highly efficient design. By the use of a higher overall gear ratio and lightweight components combined with optimal gear set concepts it is possible to improve significantly fuel consumption and driving dynamics. Precise and efficient real time models of the whole power train including models for complex subsystems like the automatic transmission are needed to combine real hardware with virtual models on XiL test rigs. Thereby it's possible to achieve a more efficient product development process optimized towards low development costs by less needed prototypes and shorter development times by pushing front loading in the process.In this paper a new real time model for automatic transmissions including approved models for the torque converter, the lock-up clutch and the torsional damper are introduced. At the current development stage the model can be used for comfort analysis and drivability assessment. Thereby various operating conditions including motored engine and an open, slipping or locked clutch condition can be simulated. For the torque converter a map based,…
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Shift Feeling as a Component of the Vehicle Image

Gesellschaft für Industrieforschung mbH-Michael Weiss, Jans-Joachim Haas, Georg Kaufhold, Alen Zulfic
  • Technical Paper
  • 2009-08-0181
Published 2009-05-20 by Society of Automotive Engineers of Japan in Japan
Shift feeling is constantly researched on numerous vehicles applied with manual transmissions. Research and development shows that one optimal shift feeling does not exist. A well-received shift feeling is dependent on a variety of objective and subjective influences, i.e., steering feeling, acoustics, clutch behavior, etc. We show how drivers experience shift feeling in relation to the surrounding vehicle characteristics.