Comparative Study of Electric Vehicle Energy Consumption between Trunk Roads and Highways

Salima El Amrani, Mohammed Chennani, D. Belkhayat
{"title":"Comparative Study of Electric Vehicle Energy Consumption between Trunk Roads and Highways","authors":"Salima El Amrani, Mohammed Chennani, D. Belkhayat","doi":"10.1109/IRSEC48032.2019.9078169","DOIUrl":null,"url":null,"abstract":"The transportation field is one of the most important in energy consumption and it must move towards more sustainable development. Indeed, global warming is a reality and air pollution is worrying especially in large cities. In addition, the depletion of fossil resources is looming. Electric vehicles (EVs) are currently considered as the promising solution for reducing the dependence of transport on fossil fuels. Nevertheless, the overall adoption of these vehicles is disturbed by range limits of EVs. Therefore, it is necessary to predict the required power to drive and plan for charging whenever needed. The aim of this paper is to introduce a software tool permitting to predict and estimate energy consumption for any desired road. The software tool is based on mathematical model of the EV, which relates the energy to different factors such as the velocity, the acceleration and the road slope. In other side, this paper presents a comparative study between the highways and the trunk roads. The road chosen is Marrakech to Casablanca based on two different driving cycles, each one corresponding to a specific road. This method can be used for any EV, which the characteristics are known. Using the proposed model, the results show that EVs are more efficient in trunk roads than highways taking into account the energy recovery during the frequent braking.","PeriodicalId":6671,"journal":{"name":"2019 7th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"46 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Renewable and Sustainable Energy Conference (IRSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRSEC48032.2019.9078169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The transportation field is one of the most important in energy consumption and it must move towards more sustainable development. Indeed, global warming is a reality and air pollution is worrying especially in large cities. In addition, the depletion of fossil resources is looming. Electric vehicles (EVs) are currently considered as the promising solution for reducing the dependence of transport on fossil fuels. Nevertheless, the overall adoption of these vehicles is disturbed by range limits of EVs. Therefore, it is necessary to predict the required power to drive and plan for charging whenever needed. The aim of this paper is to introduce a software tool permitting to predict and estimate energy consumption for any desired road. The software tool is based on mathematical model of the EV, which relates the energy to different factors such as the velocity, the acceleration and the road slope. In other side, this paper presents a comparative study between the highways and the trunk roads. The road chosen is Marrakech to Casablanca based on two different driving cycles, each one corresponding to a specific road. This method can be used for any EV, which the characteristics are known. Using the proposed model, the results show that EVs are more efficient in trunk roads than highways taking into account the energy recovery during the frequent braking.
主干道与高速公路电动汽车能耗比较研究
交通运输领域是能源消耗中最重要的领域之一,必须朝着更加可持续的方向发展。的确,全球变暖是一个现实,空气污染令人担忧,尤其是在大城市。此外,化石资源的枯竭迫在眉睫。目前,电动汽车(ev)被认为是减少交通运输对化石燃料依赖的有前途的解决方案。然而,这些车辆的整体采用受到电动汽车的范围限制的干扰。因此,有必要预测驱动所需的功率,并在需要时计划充电。本文的目的是介绍一个软件工具,允许预测和估计能源消耗的任何期望的道路。该软件工具基于电动汽车的数学模型,将能量与不同因素(如速度、加速度和道路坡度)联系起来。另一方面,本文对高速公路与主干道进行了对比研究。选择的道路是马拉喀什到卡萨布兰卡基于两个不同的驾驶周期,每一个对应一个特定的道路。该方法适用于任何已知特征的电动汽车。结果表明,考虑到频繁制动过程中的能量回收,电动汽车在主干道上的效率高于高速公路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信