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Hybrid Systems, Optimal Control and Hybrid Vehicles

Theory, Methods and Applications

  • Thomas J. Böhme
  • Benjamin Frank

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xxxiii
  2. Thomas J. Böhme, Benjamin Frank
    Pages 1-23
  3. Theory and Formulations

    1. Front Matter
      Pages 25-25
    2. Thomas J. Böhme, Benjamin Frank
      Pages 27-77
    3. Thomas J. Böhme, Benjamin Frank
      Pages 79-115
    4. Thomas J. Böhme, Benjamin Frank
      Pages 117-163
  4. Methods for Optimal Control

    1. Front Matter
      Pages 165-165
    2. Thomas J. Böhme, Benjamin Frank
      Pages 199-214
    3. Thomas J. Böhme, Benjamin Frank
      Pages 215-231
    4. Thomas J. Böhme, Benjamin Frank
      Pages 233-273
  5. Numerical Implementations

    1. Front Matter
      Pages 275-275
    2. Thomas J. Böhme, Benjamin Frank
      Pages 277-306
  6. Modeling of Hybrid Vehicles for Control

    1. Front Matter
      Pages 307-307
    2. Thomas J. Böhme, Benjamin Frank
      Pages 309-398
  7. Applications

    1. Front Matter
      Pages 399-399
    2. Thomas J. Böhme, Benjamin Frank
      Pages 401-428
    3. Thomas J. Böhme, Benjamin Frank
      Pages 429-480
    4. Thomas J. Böhme, Benjamin Frank
      Pages 481-518
  8. Appendix

    1. Front Matter
      Pages 519-519
    2. Thomas J. Böhme, Benjamin Frank
      Pages 521-525
  9. Back Matter
    Pages 527-530

About this book

Introduction

This book assembles new methods showing the automotive engineer for the first time how hybrid vehicle configurations can be modeled as systems with discrete and continuous controls. These hybrid systems describe naturally and compactly the networks of embedded systems which use elements such as integrators, hysteresis, state-machines and logical rules to describe the evolution of continuous and discrete dynamics and arise inevitably when modeling hybrid electric vehicles. They can throw light on systems which may otherwise be too complex or recondite.
Hybrid Systems, Optimal Control and Hybrid Vehicles shows the reader how to formulate and solve control problems which satisfy multiple objectives which may be arbitrary and complex with contradictory influences on fuel consumption, emissions and drivability. The text introduces industrial engineers, postgraduates and researchers to the theory of hybrid optimal control problems.  A series of novel algorithmic developments provides tools for solving engineering problems of growing complexity in the field of hybrid vehicles.
Important topics of real relevance rarely found in text books and research publications—switching costs, sensitivity of discrete decisions and there impact on fuel savings, etc.—are discussed and supported with practical applications. These demonstrate the contribution of optimal hybrid control in predictive energy management, advanced powertrain calibration, and the optimization of vehicle configuration with respect to fuel economy, lowest emissions and smoothest drivability. Numerical issues such as computing resources, simplifications and stability are treated to enable readers to assess such complex systems. To help industrial engineers and managers with project decision-making, solutions for many important problems in hybrid vehicle control  are provided in terms of requirements, benefits and risks.
Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

Cyber-physical Modeling Energy Management Hybrid Vehicles Optimal Control of Hybrid Systems Powertrain Control

Authors and affiliations

  • Thomas J. Böhme
    • 1
  • Benjamin Frank
    • 2
  1. 1.IAV GmbH Ingenieurgesellschaft Auto und VerkehrGifhornGermany
  2. 2.IAV GmbH Ingenieurgesellschaft Auto und VerkehrGifhornGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-51317-1
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-51315-7
  • Online ISBN 978-3-319-51317-1
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site
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