您当前的位置：
首页 >
文章列表页 >
Planning of urban car distributed charging pile point selection considering path time-consuming
更新时间：2025-05-26

    • Planning of urban car distributed charging pile point selection considering path time-consuming

    • “In the field of urban car charging station planning, experts have proposed a distributed planning algorithm that considers path time consumption. By collecting data through GIS technology, an objective function is established, and the threshold values for load objective function, minimum power peak, and minimum queuing probability are solved as the planning objectives. Experimental results have shown that the algorithm requires 275 iterations to achieve the objective function.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 8, Pages: 2298-2303(2023)
    • 作者机构：

      河北工业大学 建筑与艺术设计学院，天津 300130

    • DOI：10.13229/j.cnki.jdxbgxb.20220475    

      CLC： U491.1;TK51

    • Received：27 April 2022，

      Published：01 August 2023

    移动端阅览

  • LI Jian-hua,WANG Ze-ding.Planning of urban car distributed charging pile point selection considering path time-consuming[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(08):2298-2303. DOI： 10.13229/j.cnki.jdxbgxb.20220475.

  •  
  •  

0

Views

11

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Impacts of driving ability recovery state on characteristics of traffic oscillation in automated driving takeover process
Recognition of travel patterns for urban rail transit passengers based on spatiotemporal sequence similarity
New energy vehicle charging station location method based on improved particle swarm optimization algorithm
Multi-objective optimization of parameters of automotive mechanical automatic transmission system based on particle swarm optimization
Collision avoidance trajectory planning for intelligent vehicles in emergency conditions

Related Author

XU Cheng-cheng
WANG Chang-shuai
TONG Hao
PENG Chang
REN Wei-lin
ZHU Ya-di
WANG Jian-po
ZHANG Na

Related Institution

School of Transportation， Southeast University
School of Resources Engineering， Xi'an University of Architecture and Technology
School of Civil Engineering， Beijing Jiaotong University
School of Transportation Engineering， Chang'an University
School of Information Science and Engineering， Wuhan University of Science and Technology
0