基于IE的城市新能源汽车充电站选址优化研究
李明辉，蔡勇，石宇强，李嘉雯
（西南科技大学 制造科学与工程学院，四川 绵阳 621000）
摘要：汽车产业一直是我国国民经济重要支柱，随着我国经济结构转型升级和环境保护综合治理的力度持续加大，新能源汽车普及已势在必行，但新能源汽车销量的陡增给未来城市功能结构调整带来动力和挑战，特别是新能源汽车充电站在城市的选址布局优化问题尤为突出。以城市新能源汽车充电站布局为研究对象，使用IE优化理论方法与技术工具，针对充电站选址过程中忽略人的出行需求，导致其选址结果不精确的现状，应用Logit回归分析确定居民出行新能源汽车分担率，从而判断使用充电桩的需求数量，提高了计算结果精准度；再应用联合覆盖模型，确定充电场站选址位置，优化充电场站中充电桩的配置数量，用户使用充电桩最大距离缩短至2 km。实现了以低成本高效率满足新能源汽车用户的充电需求，对城市未来新能源充电场站选址与布局具有一定借鉴意义。
关键词：IE；汽车充电站；选址布局；优化
中图分类号：DF412.1 文献标志码：A doi：10.3969/j.issn.1006-0316.2024.05.003
文章编号：1006-0316 (2024) 05-0017-09
Research on the Siting of Urban New Energy Vehicle Charging Stations Based on IE
LI Minghui，CAI Yong，SHI Yuqiang，LI Jiawen
( School of Manufacturing Science and Engineering, Southwest University of Science and Technology, Mianyang 621000, China )
Abstract：The automobile industry has always been an important pillar of the national economy in China. As the transformation and upgrading of China's economic structure and the reinforcement of the comprehensive management of environmental protection, the popularization of new energy vehicles has become imperative. However, the spiked increase in sales of new energy vehicles brings both impetus and challenges to the adjustment of future urban functional structure, especially for the optimization of the siting of new energy vehicle charging stations in cities. This paper takes the layout of charging stations for urban new energy vehicles as the research object, and address the current issue of neglecting residents’ travel needs during the siting of charging stations which results in inaccurate location. Through the IE optimization theoretical approaches and technical tools, the Logit regression analysis is adopted to determine the new energy vehicle sharing rate in residents’ daily travel, so as to determine the required number of charging piles, which improves the accuracy of calculation results. Then the joint coverage model is applied to determine the location of the charging stations, optimize the number of charging piles in the charging stations, and shorten the maximum distance of users to use charging stations to 2 kilometers. It offers a low-cost and efficient solution to meet the charging needs of new energy vehicle users, which provides reference for the siting and layout of future new energy charging stations in cities.
Key words：IE；automobile charging station；siting；optimization
———————————————
收稿日期：2023-08-21
基金项目：四川省自然科学基金（2023NSFSC0507）；“智能制造装备与技术全国重点实验室”（华中科技大学）开放课题（IMETKF2023026）
作者简介：李明辉（1989－），男，黑龙江鹤岗人，硕士，主要研究方向为机器学习、复杂网络，E-mail：1174075440@qq.com；蔡勇（1962－），男，四川江油人，博士，教授，主要研究方向为人工智能、控制工程，E-mail：caiy@swust.edu.cn。
（西南科技大学 制造科学与工程学院，四川 绵阳 621000）
摘要：汽车产业一直是我国国民经济重要支柱，随着我国经济结构转型升级和环境保护综合治理的力度持续加大，新能源汽车普及已势在必行，但新能源汽车销量的陡增给未来城市功能结构调整带来动力和挑战，特别是新能源汽车充电站在城市的选址布局优化问题尤为突出。以城市新能源汽车充电站布局为研究对象，使用IE优化理论方法与技术工具，针对充电站选址过程中忽略人的出行需求，导致其选址结果不精确的现状，应用Logit回归分析确定居民出行新能源汽车分担率，从而判断使用充电桩的需求数量，提高了计算结果精准度；再应用联合覆盖模型，确定充电场站选址位置，优化充电场站中充电桩的配置数量，用户使用充电桩最大距离缩短至2 km。实现了以低成本高效率满足新能源汽车用户的充电需求，对城市未来新能源充电场站选址与布局具有一定借鉴意义。
关键词：IE；汽车充电站；选址布局；优化
中图分类号：DF412.1 文献标志码：A doi：10.3969/j.issn.1006-0316.2024.05.003
文章编号：1006-0316 (2024) 05-0017-09
Research on the Siting of Urban New Energy Vehicle Charging Stations Based on IE
LI Minghui，CAI Yong，SHI Yuqiang，LI Jiawen
( School of Manufacturing Science and Engineering, Southwest University of Science and Technology, Mianyang 621000, China )
Abstract：The automobile industry has always been an important pillar of the national economy in China. As the transformation and upgrading of China's economic structure and the reinforcement of the comprehensive management of environmental protection, the popularization of new energy vehicles has become imperative. However, the spiked increase in sales of new energy vehicles brings both impetus and challenges to the adjustment of future urban functional structure, especially for the optimization of the siting of new energy vehicle charging stations in cities. This paper takes the layout of charging stations for urban new energy vehicles as the research object, and address the current issue of neglecting residents’ travel needs during the siting of charging stations which results in inaccurate location. Through the IE optimization theoretical approaches and technical tools, the Logit regression analysis is adopted to determine the new energy vehicle sharing rate in residents’ daily travel, so as to determine the required number of charging piles, which improves the accuracy of calculation results. Then the joint coverage model is applied to determine the location of the charging stations, optimize the number of charging piles in the charging stations, and shorten the maximum distance of users to use charging stations to 2 kilometers. It offers a low-cost and efficient solution to meet the charging needs of new energy vehicle users, which provides reference for the siting and layout of future new energy charging stations in cities.
Key words：IE；automobile charging station；siting；optimization
———————————————
收稿日期：2023-08-21
基金项目：四川省自然科学基金（2023NSFSC0507）；“智能制造装备与技术全国重点实验室”（华中科技大学）开放课题（IMETKF2023026）
作者简介：李明辉（1989－），男，黑龙江鹤岗人，硕士，主要研究方向为机器学习、复杂网络，E-mail：1174075440@qq.com；蔡勇（1962－），男，四川江油人，博士，教授，主要研究方向为人工智能、控制工程，E-mail：caiy@swust.edu.cn。
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