充换电站模式下电动汽车参与物流配送的电能补给方式规划
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  • 英文篇名:Power Supply Planning of Electric Vehicles Participating in Logistics Distribution Based on the Battery Charging and Swapping Mode
  • 作者:常巩 ; 邓友均 ; 杨洪明 ; 文福拴 ; 赖明勇
  • 英文作者:CHANG Gong;DENG Youjun;YANG Hongming;WEN Fushuan;LAI Mingyong;Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distribution Network,School of Electrical and Information Engineering ,Changsha University of Science and Technology;School of Electrical Engineering ,Zhejiang University;
  • 关键词:电动汽车(EV) ; 充换电站(BCSS) ; 物流配送 ; 电能补给方式
  • 英文关键词:electric vehicle(EV);;charging and swapping station(BCSS);;logistics distribution;;power supply pattern
  • 中文刊名:DLJS
  • 英文刊名:Electric Power Construction
  • 机构:湖南省电动交通与智能配网工程技术研究中心长沙理工大学电气与信息工程学院;浙江大学电气工程学院;
  • 出版日期:2018-06-01
  • 出版单位:电力建设
  • 年:2018
  • 期:v.39;No.453
  • 基金:国家自然科学基金项目(71331001,71420107027,91547113);; 湖南省科技项目(2016WK2015,2016GK2109)~~
  • 语种:中文;
  • 页:DLJS201806003
  • 页数:8
  • CN:06
  • ISSN:11-2583/TM
  • 分类号:12-19
摘要
考虑充换电站(battery charging and swapping station,BCSS)同时提供充、换电2种电能补给方式的运营模式,相比仅在充电站或换电站模式下,电动汽车(electric vehicle,EV)参与物流配送的电能补给方式规划可能获得更低的物流配送成本。在满足EV配送途中的行驶约束和回到配送中心的慢速充放电约束的前提下,以EV配送路径、充换电模式选择以及慢速充放电策略为决策变量,以EV参与物流配送的快速充电成本、换电成本、车辆损耗成本和慢速充放电成本之和最小为优化目标,构建了确定EV在BCSS模式下的电能补给方式的最优规划模型。最后,以33节点的物流配送系统为例进行数值仿真,分析了电动汽车在配送途中的电能补给方式对运输成本和慢速充放电成本的影响,以及电动汽车回到配送中心的慢速充放电策略对物流配送总成本的影响。
        Considering the operation mode of battery charging and swapping stations( BCSSs) which can provide two kinds of power supply patterns simultaneously,i. e. the charging mode and swapping mode,the research on electric power supply strategy for an electric vehicles( EV) participating in logistics distribution is helpful to reduce the whole logistics cost. To accommodate the constraints of route selection,loading capacity,regular charging/discharging power,time and battery capacity,an optimal decision-making model is proposed for selecting EVs' power supply modes in BCSSs by choosing the logistics distribution route,charging/swapping mode and regular charging/discharging strategy as decision variables,and minimizing the sum of fast charging costs,swapping costs,total degradation costs of the EV participating in logistics distribution as the objective. Comprehensive numerical simulations are conducted on a 33-node logistics distribution system,and the impacts of the power supply mode selection of EVs in the BCSSs are analyzed,and the characteristic of the proposed method demonstrated.
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