Comparison of Electric Vehicle’s Energy Consumption Factors for Different Road Types

Energy-optimal route planning for electric vehicle (EV) is highly required for the wide-spread use of EV, which is hindered by limited battery capacity and relative short cruising range. Obtaining the cost for each link (i.e., link energy consumption) in road networks plays a key role in energy-opti...

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Main Authors: Enjian Yao, Zhiqiang Yang, Yuanyuan Song, Ting Zuo
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/328757
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spelling doaj-d8101fe9daeb4a17921b7bbedecd898c2020-11-24T22:27:31ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/328757328757Comparison of Electric Vehicle’s Energy Consumption Factors for Different Road TypesEnjian Yao0Zhiqiang Yang1Yuanyuan Song2Ting Zuo3MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, ChinaMOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Haidian District, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Haidian District, Beijing 100044, ChinaEnergy-optimal route planning for electric vehicle (EV) is highly required for the wide-spread use of EV, which is hindered by limited battery capacity and relative short cruising range. Obtaining the cost for each link (i.e., link energy consumption) in road networks plays a key role in energy-optimal route planning process. The link energy consumption depends mainly on energy consumption factor, which is related to not only vehicle speed but also road type. This study aims to analyze the difference of EV’s energy consumption factors for different road types. According to the floating car data (FCD) collected from the road network in Beijing, the vehicle specific power (VSP) distributions under different average travel speeds for different road types are analyzed firstly, and then the EV’s energy consumption rates under different VSP-Bins are calculated. By using VSP as an intermediate variable, EV’s energy consumption factor models for different road types are established and the difference of EV’s energy consumption factors is analyzed. The results show that road type-based energy consumption factor should be used in EV’s energy-optimal route planning process.http://dx.doi.org/10.1155/2013/328757
collection DOAJ
language English
format Article
sources DOAJ
author Enjian Yao
Zhiqiang Yang
Yuanyuan Song
Ting Zuo
spellingShingle Enjian Yao
Zhiqiang Yang
Yuanyuan Song
Ting Zuo
Comparison of Electric Vehicle’s Energy Consumption Factors for Different Road Types
Discrete Dynamics in Nature and Society
author_facet Enjian Yao
Zhiqiang Yang
Yuanyuan Song
Ting Zuo
author_sort Enjian Yao
title Comparison of Electric Vehicle’s Energy Consumption Factors for Different Road Types
title_short Comparison of Electric Vehicle’s Energy Consumption Factors for Different Road Types
title_full Comparison of Electric Vehicle’s Energy Consumption Factors for Different Road Types
title_fullStr Comparison of Electric Vehicle’s Energy Consumption Factors for Different Road Types
title_full_unstemmed Comparison of Electric Vehicle’s Energy Consumption Factors for Different Road Types
title_sort comparison of electric vehicle’s energy consumption factors for different road types
publisher Hindawi Limited
series Discrete Dynamics in Nature and Society
issn 1026-0226
1607-887X
publishDate 2013-01-01
description Energy-optimal route planning for electric vehicle (EV) is highly required for the wide-spread use of EV, which is hindered by limited battery capacity and relative short cruising range. Obtaining the cost for each link (i.e., link energy consumption) in road networks plays a key role in energy-optimal route planning process. The link energy consumption depends mainly on energy consumption factor, which is related to not only vehicle speed but also road type. This study aims to analyze the difference of EV’s energy consumption factors for different road types. According to the floating car data (FCD) collected from the road network in Beijing, the vehicle specific power (VSP) distributions under different average travel speeds for different road types are analyzed firstly, and then the EV’s energy consumption rates under different VSP-Bins are calculated. By using VSP as an intermediate variable, EV’s energy consumption factor models for different road types are established and the difference of EV’s energy consumption factors is analyzed. The results show that road type-based energy consumption factor should be used in EV’s energy-optimal route planning process.
url http://dx.doi.org/10.1155/2013/328757
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AT zhiqiangyang comparisonofelectricvehiclesenergyconsumptionfactorsfordifferentroadtypes
AT yuanyuansong comparisonofelectricvehiclesenergyconsumptionfactorsfordifferentroadtypes
AT tingzuo comparisonofelectricvehiclesenergyconsumptionfactorsfordifferentroadtypes
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