An intelligent solar powered battery buffered EV charging station with solar electricity forecasting and EV charging load projection functions

Hengbing Zhao, A. Burke
{"title":"An intelligent solar powered battery buffered EV charging station with solar electricity forecasting and EV charging load projection functions","authors":"Hengbing Zhao, A. Burke","doi":"10.1109/IEVC.2014.7056169","DOIUrl":null,"url":null,"abstract":"An intelligent energy management approach for a solar powered EV charging station with energy storage has been studied and demonstrated for a level 2 charger at the University of California-Davis West Village. The approach introduces solar PV electrical energy forecasting and EV charging demand projection to optimize the energy management of the charging station. The percentage of cloud cover is extracted from a weather forecast website for estimating the available PV electrical energy. A linear fit of the historical EV charging load from the same day of the week over the previous six weeks is employed for extracting the charging pattern of the workplace EV charging station. Both simulations and actual operation show that intelligent energy management for a charging station with a buffer battery can reduce impacts of the EV charging system on utility grids in terms of peak power demand and energy exchange, reduce grid system losses, and benefit the charging station owner through the Time-of-Use rate plans.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Electric Vehicle Conference (IEVC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEVC.2014.7056169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31

Abstract

An intelligent energy management approach for a solar powered EV charging station with energy storage has been studied and demonstrated for a level 2 charger at the University of California-Davis West Village. The approach introduces solar PV electrical energy forecasting and EV charging demand projection to optimize the energy management of the charging station. The percentage of cloud cover is extracted from a weather forecast website for estimating the available PV electrical energy. A linear fit of the historical EV charging load from the same day of the week over the previous six weeks is employed for extracting the charging pattern of the workplace EV charging station. Both simulations and actual operation show that intelligent energy management for a charging station with a buffer battery can reduce impacts of the EV charging system on utility grids in terms of peak power demand and energy exchange, reduce grid system losses, and benefit the charging station owner through the Time-of-Use rate plans.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种具有太阳能电量预测和电动汽车充电负荷预测功能的智能太阳能电池缓冲电动汽车充电站
加州大学戴维斯分校西村的一个二级充电器已经研究并演示了一种用于太阳能电动汽车充电站的智能能源管理方法。该方法引入太阳能光伏电能预测和电动汽车充电需求预测,优化充电站的能量管理。云量百分比是从天气预报网站提取的,用于估算可用的光伏电能。通过对前6周内当日电动汽车充电负荷的线性拟合,提取工作场所电动汽车充电站的充电模式。仿真和实际运行均表明,采用缓冲电池的充电站进行智能能量管理,可以减少电动汽车充电系统对电网峰值功率需求和能量交换的影响,减少电网系统损失,并通过分时费率计划使充电站所有者受益。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Present and future applications of supercapacitors in electric and hybrid vehicles Robust optimization based EV charging An intelligent solar powered battery buffered EV charging station with solar electricity forecasting and EV charging load projection functions Seasonal impacts of EV charging on rural grids Investigation of series-parallel connections of multi-module batteries for electrified vehicles
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1