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Hybrid Models for Automotive Powertrain Systems: Revisiting a Vision

  • Ken Butts
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1790)

Abstract

Due to the persistent need to develop increasingly complex systems with improved quality and reduced development effort, automotive manufacturers are employing model-based development approaches wherever sensible. This is particularly true for powertrain control system development, as domain relevant computer-aided control system design tools have become commercially available. It is now possible to model and simulate the powertrain system dynamics in closed-loop with detailed behavioral models of the control algorithm. These control algorithm models capture nominal, initialization, diagnostic, and failure-mode-effects management modes of operation to the extent that simulation-based validation and verification procedures can be employed. These procedures help to ensure that the algorithm design and its associated software realization meet the system requirements with quality.

Keywords

Torque Converter Powertrain System Vehicle Dynamic Model Mission Dynamic Control Algorithm Model 
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.

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Ken Butts
    • 1
  1. 1.Ford Research LaboratoryPowertrain Control SystemsDearborn

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