电测与仪表2025，Vol.62Issue(3)：10-19,10.DOI:10.19753/j.issn1001-1390.2025.03.002
基于城市网格属性划分的电动汽车充电需求预测
EV charging demand prediction based on city grid attribute division
摘要
Abstract
In order to improve the accuracy of the description of the coupling relationship between users and traffic in the study of electric vehicle charging demand prediction,a method of electric vehicle charging demand prediction based on city grid attribute division is proposed.The fusion of online vehicle trip data and Python-based urban in-terest point data is used to accurately divide the study area into functional areas,and then,the characteristics data such as travel patterns of residents and high frequency driving paths are mined.The path selection behavior of elec-tric vehicle users is considered,and a two-layer path selection model based on limited rationality of users is con-structed by combining road traffic data.The driving and charging characteristics of electric vehicles are considered,and a complete charging demand prediction model is built.And the model is applied to the Second Ring Road of Chengdu to verify the feasibility of charging demand in different areas and scenarios.关键词
电动汽车/城市兴趣点/网约车数据/路径选择/充电需求预测Key words
electric vehicle/urban interest points/online vehicle data/path selection/charging demand prediction分类
信息技术与安全科学引用本文复制引用
张美霞,徐立成,杨秀..基于城市网格属性划分的电动汽车充电需求预测[J].电测与仪表,2025,62(3):10-19,10.基金项目
上海市科委资助项目(18DZ1203200) （18DZ1203200）
