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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Buerger, S.; Lohmann, B.; Merz, M.; Vogel-Heuser, B.; Hallmannsegger, M. 
Title:
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...    »
 
Keywords:
Optimization; Fuels; Computational modeling; Object oriented modeling; Batteries; vehicles; , Batteries , Vehicles , Hafnium 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Book / Congress title:
IEEE Vehicle Power and Propulsion Conference 
Date of congress:
1.-3.9.2010 
Publisher:
IEEE 
Year:
2011 
Print-ISBN:
1938-8756 
Reviewed:
ja 
Language:
en 
TUM Institution:
Lehrstuhl für Regelungstechnik