Multi-objective optimization of a parallel hybrid electric drive train

Christiane Bertram, Dominik Buecherl, Andreas Thanheiser, Hans Georg Herzog

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

15 Zitate (Scopus)

Abstract

Hybrid electric vehicles are saving raw oil but to achieve this other resources as e.g. copper and lithium are needed. Therefore the present paper deals with the optimization of a parallel hybrid electric drive train on both minimal fuel consumption and minimal use of copper for the electrical machine and lithium within the electrical energy storage. Since copper and lithium are decisive factors during the development process and fuel consumption depends on the user the Pareto front will be analyzed looking at different driving cycles. The chosen algorithm is a hybrid multi-objective optimization method of Simulated Annealing, a Genetic Algorithm and Tournament Selection. The achieved results of the Pareto optimized HEV drive train are presented and the interdependency of those goals is analyzed.

OriginalspracheEnglisch
Titel2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011
DOIs
PublikationsstatusVeröffentlicht - 2011
Veranstaltung7th IEEE Vehicle Power and Propulsion Conference, VPPC 2011 - Chicago, IL, USA/Vereinigte Staaten
Dauer: 6 Sept. 20119 Sept. 2011

Publikationsreihe

Name2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011

Konferenz

Konferenz7th IEEE Vehicle Power and Propulsion Conference, VPPC 2011
Land/GebietUSA/Vereinigte Staaten
OrtChicago, IL
Zeitraum6/09/119/09/11

Fingerprint

Untersuchen Sie die Forschungsthemen von „Multi-objective optimization of a parallel hybrid electric drive train“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren