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  • 标题:A Electric Vehicle Charging Station Optimization Model Based on Fully Electrified Forecasting Method
  • 本地全文:下载
  • 作者:Xinyu Tian ; Huake Su ; Fan Wang
  • 期刊名称:Engineering Letters
  • 印刷版ISSN:1816-093X
  • 电子版ISSN:1816-0948
  • 出版年度:2019
  • 卷号:27
  • 期号:4
  • 页码:731-743
  • 出版社:Newswood Ltd
  • 摘要:In the global context of reducing the use of fossilfuels and turning to the usage of electric vehicles. The locationand ease of charging stations have the crucial impact on earlyadopters and volunteers who will eventually become mainstreamconsumers. In this transition, national planning needs to takeinto account the final network planning of charging stations andthe development and evolution of charging station systems, andseek to develop policies to facilitate the transition of vehicles toelectric vehicles, making the best solution for each country. Inthis paper, we first determine that the standard measurement offull electrified electric vehicles should reach 90%. By fitting andforecasting the data of Tesla electrification rate in recent years,we draw the conclusion that it is difficult to realize a completeelectrification at present. Based on this conclusion, we estimatethat the number of electric vehicle charging stations required inthe United States is about 29.7 million under the constraints ofdemand and service by using the multi-objective programmingmodel. Moreover, we have suggested to countries the factors tobe taken into account in the development of electric vehicles andthe timing of banning the use of fuel vehicles. Finally, we use theasymmetric Nash negotiation model to discuss the impact of thenumber of vehicles, population density, road network density,GDP, geographical environment and other factors. The resultsshow that the urban, suburban, and rural areas have reached63.52%, 23.41%, and 13.07%.
  • 关键词:charging station optimization; fully electrified;forecasting; pos; asymmetric Nash; multi-target planning
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