EDA-based charging algorithm for plug-in hybrid electric vehicle to shift the peak of power supply

Takashi Tazoe, Soushi Yamamoto, Harunaga Onda, Hidetoshi Takeshita, Satoru Okamoto, Naoaki Yamanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a charging algorithm which is based on the Estimation of Distribution Algorithm (EDA) for Plug in Hybrid Electric Vehicle (PHEV). The proposed algorithm shifts the peak of power supply, satisfies the requested State of Charge (SoC [%]), and minimizes the charging cost. The proposed algorithm uses flexible weight for charging and upper charging limit to each PHEV to minimize the charge amount in peak time. The simulation result shows that the proposed algorithm shifts the peak of power supply in commute time zones, satisfies SoC of 93% PHEVs, and reduces charging cost by 31% compared with conventional EDA algorithm.

Original languageEnglish
Title of host publicationVehicle and Mechanical Engineering and Information Technology
Pages46-50
Number of pages5
DOIs
Publication statusPublished - 2013 Jan 23
Event2012 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2012 - Shenyang, Liaoning, China
Duration: 2012 Sep 72012 Sep 9

Publication series

NameApplied Mechanics and Materials
Volume267
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Other

Other2012 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2012
CountryChina
CityShenyang, Liaoning
Period12/9/712/9/9

Keywords

  • Estimation of distribution algorithm
  • Plug in hybrid energy vehicle
  • Smart grid

ASJC Scopus subject areas

  • Engineering(all)

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