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Decision Model of Electric Vehicle Charging Station Configuration: A Case Study of the United States

机译:电动车充电站配置的决策模型 - 以美国为例

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This paper mainly studies the practical scientific issues of future charging station facility configuration strategies with the country as the main body.After fully considering the impact of population distribution,traffic flow,road network setting,wealth distribution,and urbanization on the optimal allocation of charging stations,the principal components analysis method is used to effectively integrate the above factors,and to use the GM(1,1)Model to predict the number of cars in the future.Further,combining the forecasting model of the total amount of cars with the weighted influence of the main factors,the constraints such as the minimum cost of charging stations and the optimal service range are established,and a decision model for the number and distribution of supercharging and destination charging stations is proposed.Taking the United States as an example,the configuration scheme for establishing the number and location of supercharging and destination charging stations for each division location in the United States is obtained through simulation,which can provide useful reference for the configuration of charging stations in various countries in the world.
机译:本文主要研究未来充电站设施配置策略的实用科学问题与国家作为主体。充分考虑人口分布,交通流量,道路网络环境,财富分配和城市化对充电的最佳分配影响主站,主要成分分析方法用于有效地集成上述因素,并使用GM(1,1)模型预测未来的汽车数量。核,将预测模型与汽车总量的预测模型相结合建立了主要因素的加权影响,建立了充电站的最小成本和最佳服务范围的约束,以及提出了用于增压和目的地充电站的数量和分布的决策模型。将美国作为一个示例,用于建立EAC的增压和目标计费站的数量和位置的配置方案通过仿真获得美国的H划分位置,可以为世界各国的充电站配置提供有用的参考。

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