Optimal charging schedule of an electric vehicle fleet

Junjie Hu; Shi You; Jacob Østergaard; Morten Lind; Qiuwei Wu

Optimal charging schedule of an electric vehicle fleet

Junjie Hu
, Shi You
, Jacob Østergaard
, Morten Lind
, Qiuwei Wu

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

In this paper, we propose an approach to optimize the charging schedule of an Electric Vehicle (EV) fleet both taking into account spot price and individual EV driving requirement with the goal of minimizing charging costs. A flexible and suitable mathematic model is introduced to characterize the smart charging behavior and detailed parameters needed for charging behavior of an individual EV are analyzed. The individual charging schedule is extended to the EV fleet. Simulation results are presented to illustrate the effectiveness of the proposed model.

Original language	English
Title of host publication	Proceedings of UPEC 2011
Publication date	2011
Publication status	Published - 2011
Event	46th International Universities' Power Engineering Conference - Soest, Germany Duration: 5 Sept 2011 → 8 Sept 2011 Conference number: 46

Conference

Conference	46th International Universities' Power Engineering Conference
Number	46
Country/Territory	Germany
City	Soest
Period	05/09/2011 → 08/09/2011

Keywords

Linear Program
Fleet Operator
Charging Schedule
Electric Vehicle

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title = "Optimal charging schedule of an electric vehicle fleet",

abstract = "In this paper, we propose an approach to optimize the charging schedule of an Electric Vehicle (EV) fleet both taking into account spot price and individual EV driving requirement with the goal of minimizing charging costs. A flexible and suitable mathematic model is introduced to characterize the smart charging behavior and detailed parameters needed for charging behavior of an individual EV are analyzed. The individual charging schedule is extended to the EV fleet. Simulation results are presented to illustrate the effectiveness of the proposed model.",

keywords = "Linear Program, Fleet Operator, Charging Schedule, Electric Vehicle",

author = "Junjie Hu and Shi You and Jacob {\O}stergaard and Morten Lind and Qiuwei Wu",

year = "2011",

language = "English",

booktitle = "Proceedings of UPEC 2011",

note = "46th International Universities' Power Engineering Conference, UPEC 2011 ; Conference date: 05-09-2011 Through 08-09-2011",

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T1 - Optimal charging schedule of an electric vehicle fleet

AU - Hu, Junjie

AU - You, Shi

AU - Østergaard, Jacob

AU - Lind, Morten

AU - Wu, Qiuwei

N1 - Conference code: 46

PY - 2011

Y1 - 2011

N2 - In this paper, we propose an approach to optimize the charging schedule of an Electric Vehicle (EV) fleet both taking into account spot price and individual EV driving requirement with the goal of minimizing charging costs. A flexible and suitable mathematic model is introduced to characterize the smart charging behavior and detailed parameters needed for charging behavior of an individual EV are analyzed. The individual charging schedule is extended to the EV fleet. Simulation results are presented to illustrate the effectiveness of the proposed model.

AB - In this paper, we propose an approach to optimize the charging schedule of an Electric Vehicle (EV) fleet both taking into account spot price and individual EV driving requirement with the goal of minimizing charging costs. A flexible and suitable mathematic model is introduced to characterize the smart charging behavior and detailed parameters needed for charging behavior of an individual EV are analyzed. The individual charging schedule is extended to the EV fleet. Simulation results are presented to illustrate the effectiveness of the proposed model.

KW - Linear Program

KW - Fleet Operator

KW - Charging Schedule

KW - Electric Vehicle

M3 - Article in proceedings

BT - Proceedings of UPEC 2011

T2 - 46th International Universities' Power Engineering Conference

Y2 - 5 September 2011 through 8 September 2011

ER -

Optimal charging schedule of an electric vehicle fleet

Abstract

Conference

Keywords

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