Skip to Main content Skip to Navigation
Journal articles

Integrated optimal design of a hybrid locomotive with multiobjective genetic algorithms

Abstract : In this paper, the Integrated Optimal Design (IOD) approach for energetic system design is discussed. IOD aims at concurrently optimizing the architecture, the element sizing and the energy management in an energetic system. IOD leads to complex optimization problems (typically mixed variable problems with several constraints and multiple objectives) which can be solved with direct optimization methods. We illustrate the interest of this approach through the design of a hybrid environmentally friendly locomotive moved by four DC motors supplied by a diesel engine generator in association with electric storage elements (batteries and ultracapacitors).
Document type :
Journal articles
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-00763618
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Tuesday, December 11, 2012 - 11:02:19 AM
Last modification on : Thursday, July 15, 2021 - 2:08:02 PM
Long-term archiving on: : Tuesday, March 12, 2013 - 3:56:29 AM

File

akli_7978.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Cossi Rockys Akli, Bruno Sareni, Xavier Roboam, Alain Jeunesse. Integrated optimal design of a hybrid locomotive with multiobjective genetic algorithms. International Journal of Applied Electromagnetics and Mechanics, IOS Press 2009, vol. 30, pp.151-162. ⟨10.3233/JAE-2009-1018⟩. ⟨hal-00763618⟩

Share

Metrics

Record views

399

Files downloads

470