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Real Taxi Operation Data and User Charging Expectation Pricing Based Charging Station Setting Position Decision Support System

机译:基于实出租车操作数据和用户充电期望定价的充电站设置位置决策支持系统

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In recent years, with increasing environmental and energy pressures, countries around the world have begun to adopt incentive policies for electric vehicles. Due to the rapid growth of the charging car market, research on electric vehicles and related facilities is imperative. Based on the passenger car operation data of Guangzhou City, we can obtain the position information of the vehicle when it reaches the preset driving position through the energy consumption position analysis. Then by constructing constraints and objective functions, taking into account the user's mileage anxiety, we use the charging station distribution location optimization algorithm to get the best location of the Guangzhou charging station. At the end of the article, this paper summarizes the charging station allocation method based on the actual driving situation of the user. This method provides a new decision-making idea for the academic community.
机译:近年来,随着环境和能源压力的增加,世界各国开始对电动汽车采取激励政策。由于充电汽车市场的快速增长,对电动汽车及相关设施的研究势在必行。根据广州市的乘用车运行数据,我们可以通过能耗位置分析来获得车辆到达预设驾驶位置时的位置信息。然后通过构造约束条件和目标函数,并考虑到用户的里程焦虑,我们使用充电站分布位置优化算法来获得广州充电站的最佳位置。在文章的最后,本文根据用户的实际驾驶情况总结了充电站的分配方法。这种方法为学术界提供了一种新的决策思路。

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