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.
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© 2000 Springer-Verlag Berlin Heidelberg
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Butts, K. (2000). Hybrid Models for Automotive Powertrain Systems: Revisiting a Vision. In: Lynch, N., Krogh, B.H. (eds) Hybrid Systems: Computation and Control. HSCC 2000. Lecture Notes in Computer Science, vol 1790. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46430-1_1
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DOI: https://doi.org/10.1007/3-540-46430-1_1
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67259-3
Online ISBN: 978-3-540-46430-3
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