GECM: A novel green wave band based energy consumption model for electric vehicles

Pengfei Huang; Changle Li; Quyuan Luo; Yao Zhang; Bing Xia

doi:10.1109/VTCSpring.2018.8417767

GECM: A novel green wave band based energy consumption model for electric vehicles

Pengfei Huang
, Changle Li
, Quyuan Luo
, Yao Zhang
, Bing Xia

Xidian University

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

2 Scopus citations

Abstract

The increasing per capita vehicle ownership has led to extremely serious traffic congestion, energy crisis and environment pollution. Electric vehicle, as a representative of energy structure transition and traffic component changes can effectively solve the mentioned issues. In this paper, we propose a novel energy consumption model for electric vehicles, Green wave band based Energy Consumption Model (GECM), which is built upon traffic signal control theory and combines with the distribution of energy consumption in a macroscopic view. This model designs green wave scenarios based on the traffic signal data in real traffic surroundings, and involves specific parameters like offset and green split for the analysis of energy consumption. Simulation results show that the energy saving and efficiency improvement are available and feasible for electric vehicles under the proposed model.

Original language	English
Title of host publication	2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538663554
DOIs	https://doi.org/10.1109/VTCSpring.2018.8417767
State	Published - 20 Jul 2018
Externally published	Yes
Event	87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal Duration: 3 Jun 2018 → 6 Jun 2018

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2018-June
ISSN (Print)	1550-2252

Conference

Conference	87th IEEE Vehicular Technology Conference, VTC Spring 2018
Country/Territory	Portugal
City	Porto
Period	3/06/18 → 6/06/18

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/VTCSpring.2018.8417767

Cite this

Huang, P., Li, C., Luo, Q., Zhang, Y., & Xia, B. (2018). GECM: A novel green wave band based energy consumption model for electric vehicles. In 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings (pp. 1-5). (IEEE Vehicular Technology Conference; Vol. 2018-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2018.8417767

@inproceedings{a49af160a300496985e3e1887151a3d5,

title = "GECM: A novel green wave band based energy consumption model for electric vehicles",

abstract = "The increasing per capita vehicle ownership has led to extremely serious traffic congestion, energy crisis and environment pollution. Electric vehicle, as a representative of energy structure transition and traffic component changes can effectively solve the mentioned issues. In this paper, we propose a novel energy consumption model for electric vehicles, Green wave band based Energy Consumption Model (GECM), which is built upon traffic signal control theory and combines with the distribution of energy consumption in a macroscopic view. This model designs green wave scenarios based on the traffic signal data in real traffic surroundings, and involves specific parameters like offset and green split for the analysis of energy consumption. Simulation results show that the energy saving and efficiency improvement are available and feasible for electric vehicles under the proposed model.",

author = "Pengfei Huang and Changle Li and Quyuan Luo and Yao Zhang and Bing Xia",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 87th IEEE Vehicular Technology Conference, VTC Spring 2018 ; Conference date: 03-06-2018 Through 06-06-2018",

year = "2018",

month = jul,

day = "20",

doi = "10.1109/VTCSpring.2018.8417767",

language = "英语",

series = "IEEE Vehicular Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--5",

booktitle = "2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings",

}

Huang, P, Li, C, Luo, Q, Zhang, Y & Xia, B 2018, GECM: A novel green wave band based energy consumption model for electric vehicles. in 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings. IEEE Vehicular Technology Conference, vol. 2018-June, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 87th IEEE Vehicular Technology Conference, VTC Spring 2018, Porto, Portugal, 3/06/18. https://doi.org/10.1109/VTCSpring.2018.8417767

GECM: A novel green wave band based energy consumption model for electric vehicles. / Huang, Pengfei; Li, Changle; Luo, Quyuan et al.
2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5 (IEEE Vehicular Technology Conference; Vol. 2018-June).

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

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T1 - GECM

T2 - 87th IEEE Vehicular Technology Conference, VTC Spring 2018

AU - Huang, Pengfei

AU - Li, Changle

AU - Luo, Quyuan

AU - Zhang, Yao

AU - Xia, Bing

PY - 2018/7/20

Y1 - 2018/7/20

N2 - The increasing per capita vehicle ownership has led to extremely serious traffic congestion, energy crisis and environment pollution. Electric vehicle, as a representative of energy structure transition and traffic component changes can effectively solve the mentioned issues. In this paper, we propose a novel energy consumption model for electric vehicles, Green wave band based Energy Consumption Model (GECM), which is built upon traffic signal control theory and combines with the distribution of energy consumption in a macroscopic view. This model designs green wave scenarios based on the traffic signal data in real traffic surroundings, and involves specific parameters like offset and green split for the analysis of energy consumption. Simulation results show that the energy saving and efficiency improvement are available and feasible for electric vehicles under the proposed model.

AB - The increasing per capita vehicle ownership has led to extremely serious traffic congestion, energy crisis and environment pollution. Electric vehicle, as a representative of energy structure transition and traffic component changes can effectively solve the mentioned issues. In this paper, we propose a novel energy consumption model for electric vehicles, Green wave band based Energy Consumption Model (GECM), which is built upon traffic signal control theory and combines with the distribution of energy consumption in a macroscopic view. This model designs green wave scenarios based on the traffic signal data in real traffic surroundings, and involves specific parameters like offset and green split for the analysis of energy consumption. Simulation results show that the energy saving and efficiency improvement are available and feasible for electric vehicles under the proposed model.

UR - https://www.scopus.com/pages/publications/85050986341

U2 - 10.1109/VTCSpring.2018.8417767

DO - 10.1109/VTCSpring.2018.8417767

M3 - 会议稿件

AN - SCOPUS:85050986341

T3 - IEEE Vehicular Technology Conference

SP - 1

EP - 5

BT - 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 3 June 2018 through 6 June 2018

ER -

GECM: A novel green wave band based energy consumption model for electric vehicles

Abstract

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UN SDGs

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