摘要
选取来自国际学术期刊的论文,以概述形式对城市交通理论方法、实证分析等学术研究成果进行总结性介绍,旨在增强城市交通业界和学界对国际学术动向和研究热点的关注,促进学术交流。本篇选取的论文提出了一种新的建模和求解视角,即基于元网络的方法建立数学模型和设计求解算法,求解最优的充电设施选址方案,使电动汽车总绕行成本最小。充电站位置分布和电动汽车续航里程是决定城际高速公路网中电动汽车驾驶人里程焦虑程度和路线选择行为的主导因素,增加电动汽车出行中的充电机会是有效缓解或克服里程焦虑的途径。
The selected paper proposes a novel modeling and solution perspective,namely,a meta-network-based approach with mathematical modeling and solution algorithms to determine the optimal location of charging facilities and minimize the overall travel cost of electric vehicles.The distribution of charging sta-tion locations and the driving range of electric vehicles are dominant factors influencing the anxiety level of drivers and their route selection behavior in intercity highway networks.Increasing opportunities for ve-hicle charging during electric vehicle travel emerges as an effective approach to alleviate or overcome range anxiety.
作者
曾学奇
ZENG Xueqi(Urban Mobility Institute,Tongji University,Shanghai 201804,China)
出处
《城市交通》
2023年第5期125-127,共3页
Urban Transport of China
关键词
电动汽车
充电设施选址
在途充电
元网络
electric vehicles
charging facility location
en-route charging
meta-network