Vehicle propulsion systems : introduction to modeling and optimization
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. TOC:Introduction. - Vehicle Dynamics and Energy Consumption. - Methods for Fuel Consumption Prediction. - Models of IC-Engine-Based Propulsion Systems. - Models Hybrid-Hydraulic and Hybrid-Mechanic Powertrains. - Models of Hybrid-Electric Powertrains. - Models of Fuel-Cell Systems. - System Optimization. - Supervisory Control Algorithms. - Appenix I: Case Studies. - Appendix II: Optimal Control Theory. - References
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783540251958
3540251952
- Maße
-
24 cm
- Umfang
-
X, 291 S.
- Sprache
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Englisch
- Anmerkungen
-
Ill., graph. Darst.
Literaturverz. S. 279 - 291
- Klassifikation
-
Ingenieurwissenschaften und Maschinenbau
- Schlagwort
-
Fahrzeugantrieb
Straßenfahrzeug
Mathematisches Modell
Optimale Kontrolle
- Ereignis
-
Veröffentlichung
- (wo)
-
Berlin, Heidelberg, New York
- (wer)
-
Springer
- (wann)
-
2005
- Urheber
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 13:48 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Guzzella, Lino
- Sciarretta, Antonio
- Springer
Entstanden
- 2005
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