A multiobjective optimal design of a hybrid power source system for a railway vehicle

Tomoyuki Ogawa, Shinji Wakao, Keiichiro Kondo

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this paper, we study an optimal design for a hybrid power source railway vehicle as an alternative to diesel railway vehicles. The hybrid power source railway vehicle is assumed to be composed of the fuel cell and the electric double layer capacitor. We apply the multiobjective optimization based on the genetic algorithm for the vehicle design, aiming at reduction of both initial cost and energy consumption. The pareto optimal solutions are obtained using the multiobjective optimization. First we develop a simulation model of the hybrid power source railway vehicle and its electric power control methods. Next we derive the pareto optimal solutions as a result of the multiobjective optimization. Finally, we categorize the pareto optimal solutions to some groups, which enables us to elucidate characteristics of the pareto optimal solutions. Consequently, using the multiobjective optimization approach we effectively comprehend the problem characteristics and can obtain the plural valuable solutions.

Original languageEnglish
Pages (from-to)1690-1698+13
Journalieej transactions on industry applications
Volume126
Issue number12
DOIs
Publication statusPublished - 2006

Keywords

  • Electric double layer capacitor
  • Fuel cell
  • Hybrid power source system
  • Multiobjective optimization
  • Railway vehicle

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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