Optimization of control strategy for plug-in hybrid electric vehicle based on differential evolution algorithm

Lipeng Zhang*, Cheng Lin, Xiang Niu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

In order to improve fuel economy, reduce emission and maintain battery life, the simulation model and control strategy for plug-in hybrid electric vehicle were established by means of PSAT and MATLAB/SIMULINK. Based on differential evolution algorithm, the control parameters were global optimized. The simulation result shows that the optimized control parameters can obviously improve the vehicle economy. It not only proves the necessary of carrying out control parameters optimization, but also reflects the excellent ability of differential evolution algorithm to realize the global optimization.

Original languageEnglish
Title of host publication2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009 - Proceedings
DOIs
Publication statusPublished - 2009
Event2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009 - Wuhan, China
Duration: 27 Mar 200931 Mar 2009

Publication series

NameAsia-Pacific Power and Energy Engineering Conference, APPEEC
ISSN (Print)2157-4839
ISSN (Electronic)2157-4847

Conference

Conference2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009
Country/TerritoryChina
CityWuhan
Period27/03/0931/03/09

Keywords

  • Control strategy
  • Differential evolution algorithm
  • Parameters optimization
  • Plug-in hybrid electric vehicle

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