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.
Author(s): Harald Waschl, Ilya Kolmanovsky, Maarten Steinbuch, Luigi del Re (eds.)
Series: Lecture Notes in Control and Information Sciences 455
Edition: 1
Publisher: Springer International Publishing
Year: 2014
Language: English
Pages: 326
Tags: Control; Calculus of Variations and Optimal Control; Optimization; Automotive Engineering
Front Matter....Pages i-xx
Front Matter....Pages 1-1
Trajectory Optimization: A Survey....Pages 3-21
Extremum Seeking Methods for Online Automotive Calibration....Pages 23-39
Model Predictive Control of Autonomous Vehicles....Pages 41-57
Approximate Solution of HJBE and Optimal Control in Internal Combustion Engines....Pages 59-73
Front Matter....Pages 75-75
Intelligent Speed Advising Based on Cooperative Traffic Scenario Determination....Pages 77-92
Driver Control and Trajectory Optimization Applied to Lane Change Maneuver....Pages 93-107
Real-Time Near-Optimal Feedback Control of Aggressive Vehicle Maneuvers....Pages 109-129
Applications of Computational Optimal Control to Vehicle Dynamics....Pages 131-146
Stochastic Fuel Efficient Optimal Control of Vehicle Speed....Pages 147-162
Predictive Cooperative Adaptive Cruise Control: Fuel Consumption Benefits and Implementability....Pages 163-178
Front Matter....Pages 179-179
Topology Optimization of Hybrid Power Trains....Pages 181-198
Model-Based Optimal Energy Management Strategies for Hybrid Electric Vehicles....Pages 199-218
Optimal Energy Management of Automotive Battery Systems Including Thermal Dynamics and Aging....Pages 219-236
Optimal Control of Diesel Engines with Waste Heat Recovery System....Pages 237-253
Front Matter....Pages 255-255
Learning Based Approaches to Engine Mapping and Calibration Optimization....Pages 257-272
Online Design of Experiments in the Relevant Output Range....Pages 273-289
Optimal Control of HCCI....Pages 291-300
Optimal Lifting and Path Profiles for a Wheel Loader Considering Engine and Turbo Limitations....Pages 301-324
Back Matter....Pages 325-326