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Titel:

Multi-objective optimization of hybrid electric vehicles considering fuel consumption and dynamic performance

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Buerger, S.; Lohmann, B.; Merz, M.; Vogel-Heuser, B.; Hallmannsegger, M.
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
Volltext / DOI:
doi:10.1109/VPPC.2010.5729128
TUM Einrichtung:
Lehrstuhl für Regelungstechnik
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