Reduction of the driving cost for capacitor-battery combined HEV by using genetic network programming

Kensuke Ishikawa, Kazuo Nakazawa, Taku Yamazaki, Satoru Furugori, Takamasa Suetomi, Yoshiyuki Matsuoka

Research output: Contribution to journalArticle

Abstract

The purpose of this study is reduction of both fuel consumption and battery deterioration by the suboptimal control for hybrid electric vehicles (HEV) which can be adapted for various driving situations and drivers as part of the emergent control system. From the rising price of fossil fuels and growing concerns on the environmental protection, HEVs are recently attracting attention. The HEV control system requires reduction of fuel consumption and battery deterioration, as well as adaptivity to dynamic environment and various drivers. However no conventional methods have taken this in account. Consequently in this paper, we use genetic network programming (GNP) as a method to find a suboptimal control of HEVs for various situations. GNP is one of the evolutionary computing methods, which has a network structure as its solution and is effective to dynamical problem because it implicitly depends on past information. We validated the proposed method by applying it to the driving simulation. Comparison to the conventional method proved the advantage of the new proposed method. We introduced new evaluation criterion "driving cost [¥/km]" in order to consider all the cost needed to drive; not only the fuel cost nor the battery cost. In addition, we validated the adaptivity to various driving situation and various drivers.

Original languageEnglish
Pages (from-to)2259-2272
Number of pages14
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume79
Issue number803
DOIs
Publication statusPublished - 2013 Aug 19

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Keywords

  • Control Strategy
  • Driving Cost
  • Fuel Consumption
  • Genetic Network Programming
  • Hybrid Electric Vehicle
  • Life Expectancy
  • Lithium Ion Secondary Battery
  • Super Capacitor

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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