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Integrated optimal design of a hybrid locomotive with multiobjective genetic algorithms

Akli, Cossi Rockys and Sareni, Bruno and Roboam, Xavier and Jeunesse, Alain Integrated optimal design of a hybrid locomotive with multiobjective genetic algorithms. (2009) International Journal of Applied Electromagnetics and Mechanics, vol. 30 (n° 3-4). pp. 151-162. ISSN 1383-5416

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Official URL: http://dx.doi.org/10.3233/JAE-2009-1018

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).

Item Type:Article
Additional Information:Thanks to IOS Press. The original publication is available at http://iospress.metapress.com/content/103161
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT
Other partners > Société Nationale des Chemins de Fer français - SNCF (FRANCE)
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
Laboratory name:
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Deposited By: Bruno SARENI

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