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Optimization and Optimal Control in Automotive Systems pp 181–198Cite as

Topology Optimization of Hybrid Power Trains

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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 455))

Abstract

Topology optimization methods for continuum systems (structural topology, shape, material) are well-established. However, these methods do not apply to non-continuum or dynamic systems with discrete components with unique characteristics as with hybrid vehicles. This chapter examines the power train topology and control design optimization problem at vehicle system level. The design space related to power train and control system optimization level is rapidly increasing with new developments in power train, auxiliary technologies, system architectures (topologies) and cyber-physical systems. The multi-objective, mixed or hybrid (continuous/discrete time) character on both coupled levels of the problem requires relative long computation time. Therefore, it requires a bi-level (nested) or simultaneous system design approach. Since, sequential or iterative design procedures fail to prove system-level optimality. In this chapter, some illustrative examples are discussed related to nested control and design optimization problems related to continuous/stepped-gear transmission shifting, power split control and/or in combination with topology optimization.

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Notes

  1. 1.

    The backward-in-time algorithm starts at a given final state; either algorithm is convenient to used when both (initial and final) states are fixed. The forward algorithm is more convenient as it will optimize the final state.

  2. 2.

    HP EliteBook 8530w, Core 2 Due, CPU T9600 @ 2.8 GHz, RAM 4.0 GB

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Authors and Affiliations

  1. Eindhoven University of Technology, P.O. Box 513, 5600, Eindhoven, MB, The Netherlands

    Theo Hofman & Maarten Steinbuch

Authors
  1. Theo Hofman
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  2. Maarten Steinbuch
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Correspondence to Theo Hofman .

Editor information

Editors and Affiliations

  1. Institute for Design and Control of Mechatronical Systems, Johannes Kepler, University Linz, Linz, Austria

    Harald Waschl

  2. Department of Aerospace Engineering, University of Michigan, Ann Arbor, Michigan, USA

    Ilya Kolmanovsky

  3. Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Maarten Steinbuch

  4. Institute for Design and Control of Mechatronical Systems, Johannes Kepler University Linz, Linz, Austria

    Luigi del Re

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Hofman, T., Steinbuch, M. (2014). Topology Optimization of Hybrid Power Trains. In: Waschl, H., Kolmanovsky, I., Steinbuch, M., del Re, L. (eds) Optimization and Optimal Control in Automotive Systems. Lecture Notes in Control and Information Sciences, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-05371-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-05371-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05370-7

  • Online ISBN: 978-3-319-05371-4

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