Vehicle propulsion systems : introduction to modeling and optimization / Lino Guzzella; Antonio Sciarretta

Von:

Guzzella, Lino, 1957- [aut]

Mitwirkende(r):

Sciarretta, Antonio, 1970- [aut]

Resource type: Ressourcentyp: BuchBuchVerlagsnummer: 11332794Sprache: Englisch Verlag: Berlin [u.a.] : Springer, 2005Beschreibung: X, 291 S : Ill., graph. Darst ; 24 cmISBN:

3540251952
9783540251958

Schlagwörter:

Genre/Form:

Bibliografie

Andere physische Formen: Erscheint auch als: Vehicle Propulsion Systems. Online-Ausgabe. Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2005. Online-Ressource (X, 291 p., 176 illus, digital)DDC-Klassifikation:

629.25015118
629.2501/5118
620

RVK: RVK: ZO 4230 | ZO 4280LOC-Klassifikation:

TL210

Zusammenfassung: 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. - ReferencesCall number: Grundsignatur: 2005 A 11383PPN: PPN: 479463859

Exemplare ( 1 )

Exemplare
Medientyp	Heimatbibliothek	Sammlung	Standort	Signatur	Status	Barcode
Freihandbestand ausleihbar	Bibliothek Campus Süd	masch 5.1	Lesesaal Technik (LST)	2005 A 11383	Verfügbar	47198737090

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