The present paper deals with the optimization problem of hybrid electric vehicles' power trains. Different optimization algorithms are compared and the chosen algorithm DIviding RECTangles (DIRECT) is described in detail. An optimization method dealing with the strong dependency of the parameters is used to analyze the hybridization factor's influence. The developed method enables further to draw extensive conclusions from the optimization results. The achieved results concerning the optimal hybridization factor with respect to the energy storage's size are presented. Furthermore the influence of different driving cycles and combustion engines on the optimal hybridization factor is analyzed.
DIRECT as two-level optimization method for drive train design and control of hybrid electric vehicles
2010
7 Seiten, 8 Bilder, 2 Tabellen, 27 Quellen
(nicht paginiert)
Aufsatz (Konferenz)
Datenträger
Englisch
Automotive Drive Train Products for Electric and Hybrid Vehicles
British Library Conference Proceedings | 1994
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