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.
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 Control Systems 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.
Part I: Optimization Methods.- Extremum Seeking,- Trajectory Planning.- Advances in Embedded MPC.- Network Optimization.- Approximate Optimal Solutions of HJB.- Part II: Inter- and Intra-Vehicle System Optimization.- Cooperative Optimal Control.- String Stability.- Trajectory Optimization.- Optimal Control for Vehicle Safety.- Fuel Economy by CACC.- Applications of Computational Optimal Control to Vehicle Dynamics.- Simulation and HIL Application Carmaker.- On Stochastic Optimal Control of Vehicle Speed for Fuel Efficient In-traffic.- Optimal Gearshift Control on Heavy Duty Applications.- Part III: Powertrain Optimization.- Powertrain Assessment.- Optimal Control of Wasteheat Recovery.- Topology Optimization.- Optimal Control of Hybrid Powertrains.- Control of Hybrid Powertrains by Approximately Linear Programming.- Optimal Control of Batteries.- Optimal Control of Fuel Cells.- Part IV: Engine Optimization.- Optimal Control of HCCI.- DOE and Automatic Mapping.- Optimal control of the Short Loading Cycle of a Wheel Loader.- On-ramp Design Suite for Powertrain Control.- Time to Torque Estimation.