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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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2013/328757 |
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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 |
work_keys_str_mv |
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