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Vehicle Propulsion Systems: Introduction to Modeling and Optimization

ISBN-13: 9783642094156 / Angielski / Miękka / 2010 / 338 str.

Lino Guzzella; Antonio Sciarretta
Vehicle Propulsion Systems: Introduction to Modeling and Optimization Guzzella, Lino 9783642094156 Not Avail - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Vehicle Propulsion Systems: Introduction to Modeling and Optimization

ISBN-13: 9783642094156 / Angielski / Miękka / 2010 / 338 str.

Lino Guzzella; Antonio Sciarretta
cena 484,18 zł
(netto: 461,12 VAT:  5%)

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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.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Automotive
Science > Termodynamika
Technology & Engineering > Robotics
Wydawca:
Not Avail
Język:
Angielski
ISBN-13:
9783642094156
Rok wydania:
2010
Wydanie:
2007
Ilość stron:
338
Waga:
0.54 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01

Vehicle Energy and Fuel Consumption — Basic Concepts.- IC-Engine-Based Propulsion Systems.- Electric and Hybrid-Electric Propulsion Systems.- Non-electric Hybrid Propulsion Systems.- Fuel-Cell Propulsion Systems.- Supervisory Control Algorithms.- Appendix I — Case Studies.- Appendix II — Optimal Control Theory.- Appendix III — Dynamic Programming.

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 depart ment of ETH as a faculty member where he is currently a chaired professor for thermotronics. His research interests are modeling of dynamic systems, non linear 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 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.

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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