Integrated optimal design of a hybrid locomotive with multiobjective genetic algorithms

被引：18
|
作者：
Akli, C. R. [1 ,2 ]
Sareni, B. [1 ]
Roboam, X. [1 ]
Jeunesse, A. [2 ]
机构：
[1] Univ Toulouse, LAPLACE, UMR CNRS INPT UPS, F-31071 Toulouse 7, France
[2] SNCF, Ctr Ingn Mat, F-72100 Le Mans, France
来源：
INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2009年 / 30卷 / 3-4期
关键词：
Integrated optimal design; multidisciplinary design optimization; hybrid locomotive; ecodesign;
D O I：
10.3233/JAE-2009-1018
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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).
引用
收藏
页码：151 / 162
页数：12
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