Buch, Englisch, 530 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 1146 g
Theory, Methods and Applications
Buch, Englisch, 530 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 1146 g
Reihe: Advances in Industrial Control
ISBN: 978-3-319-84618-7
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I Introduction.- Introduction.- Modeling of Hybrid Vehicles as Cyber-physical Systems.- Optimal Control Preliminaries.- Problem Formulation.- Part II Numerical Solutions.- Optimal Control Solutions Using Indirect Methods.- Optimal Control Solutions Using Direct Methods.- Numerical Algorithms.- Part III Applications.- Advanced Applications.- Predictive Real-time Energy Management.- CO2 Management.