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

doi:10.4028/www.scientific.net/AMM.267.46

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

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Vehicle and Mechanical Engineering and Information Technology
Pages	46-50
Number of pages	5
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.267.46
Publication status	Published - 2013
Event	2012 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2012 - Shenyang, Liaoning, China Duration: 2012 Sept 7 → 2012 Sept 9

Publication series

Name	Applied Mechanics and Materials
Volume	267
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Other

Other	2012 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2012
Country/Territory	China
City	Shenyang, Liaoning
Period	12/9/7 → 12/9/9

Keywords

Estimation of distribution algorithm
Plug in hybrid energy vehicle
Smart grid

ASJC Scopus subject areas

Engineering(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.4028/www.scientific.net/AMM.267.46

Cite this

Tazoe, T, Yamamoto, S, Onda, H, Takeshita, H, Okamoto, S & Yamanaka, N 2013, EDA-based charging algorithm for plug-in hybrid electric vehicle to shift the peak of power supply. in Vehicle and Mechanical Engineering and Information Technology. Applied Mechanics and Materials, vol. 267, pp. 46-50, 2012 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2012, Shenyang, Liaoning, China, 12/9/7. https://doi.org/10.4028/www.scientific.net/AMM.267.46

@inproceedings{af6ab7a29e834780ad09fb472fccdeea,

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

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.",

keywords = "Estimation of distribution algorithm, Plug in hybrid energy vehicle, Smart grid",

author = "Takashi Tazoe and Soushi Yamamoto and Harunaga Onda and Hidetoshi Takeshita and Satoru Okamoto and Naoaki Yamanaka",

note = "Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; 2012 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2012 ; Conference date: 07-09-2012 Through 09-09-2012",

year = "2013",

doi = "10.4028/www.scientific.net/AMM.267.46",

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series = "Applied Mechanics and Materials",

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booktitle = "Vehicle and Mechanical Engineering and Information Technology",

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TY - GEN

T1 - EDA-based charging algorithm for plug-in hybrid electric vehicle to shift the peak of power supply

AU - Tazoe, Takashi

AU - Yamamoto, Soushi

AU - Onda, Harunaga

AU - Takeshita, Hidetoshi

AU - Okamoto, Satoru

AU - Yamanaka, Naoaki

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Estimation of distribution algorithm

KW - Plug in hybrid energy vehicle

KW - Smart grid

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DO - 10.4028/www.scientific.net/AMM.267.46

M3 - Conference contribution

AN - SCOPUS:84872449105

SN - 9783037855805

T3 - Applied Mechanics and Materials

SP - 46

EP - 50

BT - Vehicle and Mechanical Engineering and Information Technology

T2 - 2012 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2012

Y2 - 7 September 2012 through 9 September 2012

ER -

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

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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