Vehicle propulsion systems : introduction to modeling and optimization / Lino Guzzella, Antonio Sciarretta.
Material type: TextPublication details: Berlin ; New York : Springer, 2005.Description: x, 291 p. : ill. ; 25 cmISBN:- 3540251952 (hd.bd.)
- 9783540251958
- TL210 .G89 2005
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TL152.I27 2006 اصلاح السيارات: كهرباء السيارات/ | TL152 .S526 2005 أسس الصيانة الميكانيكية/ | TL210 .G89 2005 Vehicle propulsion systems : introduction to modeling and optimization / | TL210 .G89 2005 Vehicle propulsion systems : introduction to modeling and optimization / | TL210 S526 2009 ديناميكا المركبات/ | TL210 S55 2008 محركات السيارات: الاحتراق الداخلي/ | TL220 .H39 2018 Electric powertrain : energy systems, power electronics and drives for hybrid, electric and fuel cell vehicles / |
Includes bibliographical references.
Introduction.- Vehicle Energy and Fuel Consumption - Basic Concepts.- IC-Engine-Based Propulsion Systems.- Models of Fuel-Cell Propulsion Systems.- Supervisory Control Algorithms.- Appendix I - Case Studies.- Appendix II - Optimal Control Theory.
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 for reading this book are general engineering topics and a first course in optimal control theory.
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