Authors:
- Enhances the depth of system models for hybrid vehicles and renders them feasible for practitioners using novel hybrid control methods
- Demonstrates that optimal control of hybrid systems are unbeatable when applied to currently key-areas in fuel and emission control of hybrid electric vehicles
- Gives the automotive practitioner a systematic insight into the modeling and analysis of complex vehicle configurations consisting of physical processes, software artifacts and network communication
- Facilitates the in-project engineering and management decision-making process of a project by providing solutions in terms of requirements, benefits and risks
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Industrial Control (AIC)
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Table of contents (14 chapters)
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Front Matter
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Theory and Formulations
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Front Matter
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Methods for Optimal Control
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Front Matter
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Numerical Implementations
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Front Matter
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Modeling of Hybrid Vehicles for Control
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Front Matter
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Appendix
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Front Matter
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About this book
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.
Authors and Affiliations
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IAV GmbH Ingenieurgesellschaft Auto und Verkehr, Gifhorn, Germany
Thomas J. Böhme, Benjamin Frank
About the authors
Benjamin Frank is mathematician and working at the iav automotive engineering company. He published several papers and contributions in the field of control and optimizations.
Bibliographic Information
Book Title: Hybrid Systems, Optimal Control and Hybrid Vehicles
Book Subtitle: Theory, Methods and Applications
Authors: Thomas J. Böhme, Benjamin Frank
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-3-319-51317-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-51315-7Published: 10 February 2017
Softcover ISBN: 978-3-319-84618-7Published: 13 July 2018
eBook ISBN: 978-3-319-51317-1Published: 01 February 2017
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XXXIII, 530
Number of Illustrations: 30 b/w illustrations, 113 illustrations in colour