计算机与现代化 ›› 2020, Vol. 0 ›› Issue (06): 114-.

• 人工智能 • 上一篇    下一篇

考虑交通流量的改进型电动汽车充/换电设施选址布局

  

  1. (咸阳师范学院计算机学院,陕西咸阳712000)
  • 收稿日期:2019-09-30 出版日期:2020-06-24 发布日期:2020-06-28
  • 作者简介:张忠(1987-),男,江苏南京人,助教,硕士,研究方向:智慧化元器件与可靠性,E-mail: flzhangzhong@163.com; 邹燕飞(1981-),女,甘肃庆阳人,讲师,硕士,研究方向:并行计算,云计算,E-mail: 32247155@qq.com; 刘淑英(1982-),女,陕西府谷人,副教授,硕士,研究方向:人工智能,大数据,E-mail: lsynate@163.com。
  • 基金资助:
    咸阳师范学院专项科研基金资助项目(XSYK19022)

An Improved Electric Vehicle Charging/Switching Facility Layout Considering Traffic Flow

  1. (School of Computer Science, Xianyang Normal University, Xianyang 712000, China)
  • Received:2019-09-30 Online:2020-06-24 Published:2020-06-28

摘要: 为了有效促进电动汽车在我国的蓬勃发展、提高电动汽车使用效能并降低交通物流业的环境污染,本文拟通过构建考虑交通流量的电动汽车充/换电设施规划方法进行电动汽车充/换电设施优化布局研究。首先,从便利性原则、经济性原则、安全性原则、可行性原则4个方面分析电动汽车充/换电设施的布局原则;在此基础上,综合分析典型选址模型的局限性,以充/换电设施的服务能力最大化为目标,构建考虑交通流量的改进型电动汽车充/换电设施截流选址模型;然后,考虑到该模型的NP-hard特性,将二进制粒子群算法引入充/换电设施的布局模型求解中以提高计算效率;最后,以深圳市某区域为实例,基于MATLAB软件进行电动汽车充/换电设施规划布局研究,为该区域充/换电设施布局提供行之有效的方案。

关键词: 电动汽车, 充/换电设施, 交通流量, 优化布局, 二进制粒子群算法

Abstract: In order to effectively promote the vigorous development of electric vehicles in China, improve the use efficiency of electric vehicles and reduce the environmental pollution in the transportation and logistics industry, this paper intends to carry out a study on the optimal layout of electric vehicle charging/switching facilities by constructing the planning method of electric vehicle charging/switching facilities that takes into account the traffic flow. Firstly, the layout principles of charging/switching facilities of electric vehicles are analyzed from four aspects: convenience principle, economy principle, safety principle and feasibility principle. On this basis, the limitations of the typical site selection model are comprehensively analyzed. With the goal of maximizing the service capacity of the charging/switching facilities, the site selection model of the intercepting flow of the charging/switching facilities of the advanced electric vehicle is constructed, taking into account the traffic flow. Then, considering the NP-hard characteristics of the model, the binary particle swarm optimization (PSO) algorithm is introduced into the distribution model solution of charging/switching facilities to improve the calculation efficiency. Finally, taking a region of Shenzhen city as an example, the planning and layout study of electric vehicle charging/switching facilities is conducted based on MATLAB software to provide an effective plan for the charging/switching facilities layout in this region.

Key words: electric vehicle, charging/switching facility, traffic flow, optimized layout, binary particle swarm algorithm

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