Optimization and Optimal Control in Automotive Systems (eBook, PDF)

Redaktion: Waschl, Harald; Del Re, Luigi; Steinbuch, Maarten; Kolmanovsky, Ilya

• Format: PDF

Produktbeschreibung

This book demonstrates the use of the optimization techniques that are becoming essential to meet the increasing stringency and variety of requirements for automotive systems. It shows the reader how to move away from earlier approaches, based on some degree of heuristics, to the use of more and more common systematic methods. Even systematic methods can be developed and applied in a large number of forms so the text collects contributions from across the theory, methods and real-world automotive applications of optimization. Greater fuel economy, significant reductions in permissible emissions, new drivability requirements and the generally increasing complexity of automotive systems are among the criteria that the contributing authors set themselves to meet. In many cases multiple and often conflicting requirements give rise to multi-objective constrained optimization problems which are also considered. Some of these problems fall into the domain of the traditional multi-disciplinary optimization applied to system, sub-system or component design parameters and is performed based on system models; others require applications of optimization directly to experimental systems to determine either optimal calibration or the optimal control trajectory/control law. Optimization and Optimal Control in Automotive Systems reflects the state-of-the-art in and promotes a comprehensive approach to optimization in automotive systems by addressing its different facets, by discussing basic methods and showing practical approaches and specific applications of optimization to design and control problems for automotive systems. The book will be of interest both to academic researchers, either studying optimization or who have links with the automotive industry and to industrially-based engineers and automotive designers.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 326
• Erscheinungstermin: 20. März 2014
• Englisch
• ISBN-13: 9783319053714
• Artikelnr.: 43799190

Autorenporträt

Prof. Luigi del Re is Professor at the Johannes Kepler University Linz, where he is head of the Institute for Design and Control of Mechatronical systems. He has 30 years experience in identification and control of complex systems, in particular of engine and vehicle systems, both in industry and academia. He is the editor of two earlier LNCIS volumes on automotive control: Identification for Automotive Systems (978-1-4471-2220-3) and Automotive Model Predictive Control (978-1-84996-070-0) Ilya Kolmanovsky is a Professor of Aerospace Engineering at the University of Michigan with research interests in control applications to automotive and aerospace systems. Prior to joining the University of Michigan, he had close to 15 years of industrial research experience in powertrain control at Ford Research and Advanced Engineering. Maarten Steinbuch is Distinguished University Professor at Eindhoven University of Technology and head of the ControlSystems Technology group. He has experience both in industry and academia, in the field of control of high-tech systems, in particular high-precision motion systems and automotive power trains. Harald Waschl is a research assistant at the Johannes Kepler University Linz, where he is with the Institute for Design and Control of Mechatronical systems. He has experience in the field of optimal and model-based control of combustion engines and emission modelling.

Inhaltsangabe

Trajectory Optimization: A Survey.- Extremum Seeking Methods for Online Automotive Calibration.- Model Predictive control of Autonomous Vehicles.- Approximate Solution of HJBE and Optimal Control in Internal Combustion Engines.- Intelligent Speed Advising Based on Cooperative Traffic Scenario.- Driver Control and Trajectory Optimization Applied to Lane Change Maneuver.- Real-Time Near-Optimal Feedback Control of Aggressive Vehicle Maneuvers.- Applications of Computational Optimal Control to Vehicle Dynamics.- Predictive Cooperative Adaptive Cruise Control: Fuel Consumption Benefits and Implementability.- Topology Optimization of Hybrid Power Trains.- Model-based Optimal Energy Management Strategies for Hybrid Electric Vehicles.- Optimal Energy Management of Automotive Battery Systems Including Thermal Dynamics and Aging.- Optimal Control of Diesel Engines with Waste Heat Recovery System.- Learning Based Approaches to Engine Mapping and Calibration Optimization.- Online Design of Experiments in the Relevant Output Range.- Optimal Control of HCCI.- Optimal Lifting and Path Profiles for a Wheel Loader Considering Engine and Turbo Limitations.