首页> 外文OA文献 >A Charging Location Choice Model for Plug-In Hybrid Electric Vehicle Users
【2h】

A Charging Location Choice Model for Plug-In Hybrid Electric Vehicle Users

机译:插入式混合动力电动汽车用户的充电位置选择型号

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Electric vehicles (EVs) are promising alternatives to replace traditional gasoline vehicles. The relationship between available charging stations and electric vehicles has to be precisely coordinated to facilitate the increasing promotion and usage of EVs. This paper aims to investigate the choice of the charging location with global positioning system (GPS) trajectories of 700 Plug-in Hybrid Electric Vehicle (PHEV) users as well as the charging facility data in Shanghai. First, the recharge accessibility of each PHEV user was investigated, and 9% rely solely on public charging networks. Then, we explored the relationship between fuel consumption and the average distance between charging to analyze the environmental benefits of PHEVs. It was found that 16% PHEVs are similar to EVs, and 9% whose drivers rely solely on public charging stations are similar to internal combustion engine (ICE) vehicles. PHEV users were divided into four types based on the actual recharge access: home and workplace-based user (private + workplace + public), the home-based user (private + public), the workplace-based user (workplace + public), and the public-based user (public). Models were developed to identify and compare the factors that influence PHEV user’s charging location choices (home, workplace, and public stations). The modeling and results interpretation were carried out for all PHEV users, home and workplace-based users, home-based users, and workplace-based users, respectively. The estimation results demonstrated that PHEV users tended to charge at home or workplace rather than public charging stations. Charging price, charging price tariff, the initial state of charge (SOC), dwell time, charging power, the density and size of public charging stations, the total number of public charging, vehicle kilometer travel (VKT) of the current trip and current day are the main predictors when choosing the charging location. Findings of this study may provide new insights into the operational strategies of the public charging station as well as the deployment of public charging facilities in urban cities.
机译:电动车(EVS)是更换传统汽油车辆的有前途的替代品。必须精确协调可用充电站和电动车辆之间的关系,以促进EVS的增加和使用。本文旨在调查带有700个插件混合动力电动车(PHEV)用户(PHEV)用户的全球定位系统(GPS)轨迹的充电位置以及上海的充电设施数据。首先,调查每个PHEV用户的充电可访问性,9%完全依赖于公共收费网络。然后,我们探讨了燃料消耗与充电之间的平均距离之间的关系,以分析PHEV的环境益处。有人发现,16%PHEV类似于EVS,9%的司机仅依赖于公共充电站的司机类似于内燃机(ICE)车辆。 PHEV用户根据实际的充值访问:基于家庭和工作场所的用户(私人+工作场所+公共),基于家庭的用户(私人+公共),基于工作场所的用户(工作场所+ PUBLIC),和基于公开的用户(公共)。开发了模型以识别并比较影响PHEV用户充电位置选择(家庭,工作场所和公共站)的因素。为所有PHEV用户,家庭和基于工作场所的用户,基于家庭的用户和基于工作场所的用户进行建模和结果解释。估算结果表明,PHEV用户倾向于在家庭或工作场所充电,而不是公共收费站。充电价格,充电价格关税,初期充电状态(SOC),停留时间,充电电源,公共收费站的密度和大小,公共充电总数,车辆公里行程(VKT)的当前旅行和电流在选择充电位置时,日是主要预测因子。本研究的调查结果可能对公共收费站的运营策略提供新的见解,以及城市城市的公共收费设施部署。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号