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Dokumenttyp:
Konferenzbeitrag 
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz 
Autor(en):
Buerger, S.; Lohmann, B.; Merz, M.; Vogel-Heuser, B.; Hallmannsegger, M. 
Titel:
Multi-objective optimization of hybrid electric vehicles considering fuel consumption and dynamic performance 
Abstract:
In this paper a new concept for the layout of hybrid-electric-powertrains is developed that includes optimization of the component-sizes as well as control strategies. In contrast to most existing publications, the approach explicitly considers the conflicting goals of low fuel consumption and high vehicle longitudinal dynamics and the trade-off is quantified. Two multiobjective optimization subproblems are solved for one example with a parallelized genetic algorithm (NSGA-II) using the Condor s...    »
 
Stichworte:
Optimization; Fuels; Computational modeling; Object oriented modeling; Batteries; vehicles; , Batteries , Vehicles , Hafnium 
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften 
Kongress- / Buchtitel:
IEEE Vehicle Power and Propulsion Conference 
Datum der Konferenz:
1.-3.9.2010 
Verlag / Institution:
IEEE 
Jahr:
2011 
Print-ISBN:
1938-8756 
Reviewed:
ja 
Sprache:
en 
TUM Einrichtung:
Lehrstuhl für Regelungstechnik