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Vehicle Propulsion Systems: Introduction to Modeling and Optimization - Hardcover

 
9783540251958: Vehicle Propulsion Systems: Introduction to Modeling and Optimization

Synopsis

In this book the longitudinal behavior of road vehicles is analyzed. The main emphasis is on the analysis and minimization of the fuel and energy consumption. Most approaches to this problem enhance the complexity of the vehicle system by adding components such as electrical motors or storage devices. Such a complex system can only be designed by means of mathematical models. This text gives an introduction to the modeling and optimization problems typically encountered when designing new propulsion systems for passenger cars. It is intended for persons interested in the analysis and optimization of classical and novel vehicle propulsion systems. Its focus lies on the control-oriented mathematical description of the physical processes and on the model-based optimization of the system structure and of the supervisory control algorithms. This text has evolved from a lecture series at ETH Zurich. Prerequisites are general engineering topics and a first course in optimal control theory.

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About the Author

Lino Guzzella was born in Zurich,  Switzerland in 1957. He received the diploma in Mechanical Engineering in 1981 and the Dr. sc. techn. degree in control engineering in 1986 from the Swiss Federal Institute of Technology (ETH),  Zurich.  From 1987 to 1993 he held various positions in industry and academia.  He then joined the mechanical engineering depart­ment of ETH as a faculty member where he is currently a chaired professor for thermotronics. His research interests are modeling of dynamic systems, non­linear and robust control and applications of these ideas to thermal and especially automotive systems. Among others, he received the IEEE Control Systems Magazine Outstanding Paper Award and the IEEE Industry Award for Excellence in Translational Control Research, the SAE Arch T. Colwell Merit Award and the SAE Ralph R. Teetor Educational Award,  the IMechE Thomas Hawksley Medal and the ImechE Crompton Lancaster Medal, and the Energy Globe Award. He is a fellow of IFAC and of IEEE and a member of the Swiss Academy of Engineering Sciences. A complete CV and a list of publications can be found at http://www.idsc.ethz.ch

 Antonio Sciarretta was born in Ortona, Italy, in 1970. He received the Laurea in Mechanical Engineering in 1995, and the Doctorate degree (Thermal machines) in 1999, both from the University of L'Aquila, Italy. He earned a Habilitation (Control Eng.) in 2009 from the Grenoble Institute of Technology, France. After several teaching and research experiences in Italy and Switzerland, particularly at ETH Zurich of which he is still a scientific collaborator, in 2006 he joined the Control, Signals, and Systems Department of IFP Energies Nouvelles, Rueil Malmaison, France. Since 2009 he is IFPEN Expert for "Hybrid vehicles and energy management" as well as titular of the Tuck foundation Chair on the same subject at IFP School. He has actively contributed to the development of hybrid-vehicle activities at IFPEN and he is currently managing research activities on control and optimization for vehicle electrification. Author of around 70 scientific publications and several patent files, he contributes to the scientific and professional community also as a journal editor, conference organizer, and project evaluator.

From the Back Cover

Automobiles are responsible for a substantial part of the world's consumption of primary energy, mostly fossil liquid hydrocarbons. The reduction of the fuel consumption of these vehicles has become a top priority. Many ideas to reach that objective have been presented. In most cases these systems are more complex than the traditional approaches. For such complex systems a heuristic design approach fails. The only way to deal with this situation is to employ model-based methods. This text provides an introduction to the mathematical modeling and subsequent optimization of vehicle propulsion systems and their supervisory control algorithms.

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Guzzella, L.; Sciarretta, A.:
Published by Berlin, Springer., 2005
ISBN 10: 3540251952 ISBN 13: 9783540251958
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176 figs., X, 291 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. 1st. ed/1. Auflage. Sprache: Englisch. Seller Inventory # 986DB

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Guzzella, Lino, Sciarretta, Antonio
Published by Springer, 2005
ISBN 10: 3540251952 ISBN 13: 9783540251958
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