Summary of Research on Electric Vehicle Charging Station Planning

Electric vehicles (EV), as a low-carbon and environmentally friendly means of transportation, have rapid evolution in recent years. The insufficient and uneven distribution of charging infrastructure has become a significant factor limiting the progress of electric vehicles. This paper reviews the current research results from two aspects of public and private transportation, focusing on the model construction of charging station location and the selection and optimization of solving algorithms. In the aspect of public transportation, the charging schedule of night station charging and BOT mode operation of fast charging facilities are introduced. Private transportation mainly introduces a variety of charging station location models, such as the model based on user random behavior, the model based on user dynamic demand, and analyzes their advantages and disadvantages; The algorithm and optimization method of solving the model are discussed and analyzed. The findings indicate that in building the urban charging station model, taking into account the interests of society, charging station contractors, and users is essential, and take into account the price of urban land, the price of electricity at different times, and the flow of vehicles, so as to make the model that better aligns with the actual situation. The research offers a valuable reference for the investigation of EV charging station planning.

Authors

Institutions

Publication Details

Journal
Academic Journal of Science and Technology
Published
2024-12-26
DOI
https://doi.org/10.54097/r7z3a732
Citations
1
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Summary of Research on Electric Vehicle Charging Station Planning

Teng Wang
1 citations
Academic Journal of Science and Technology
Advanced Algorithms and Applications
0.33
article

Summary of Research on Electric Vehicle Charging Station Planning

Teng Wang
article en
1 citations

Abstract

Electric vehicles (EV), as a low-carbon and environmentally friendly means of transportation, have rapid evolution in recent years. The insufficient and uneven distribution of charging infrastructure has become a significant factor limiting the progress of electric vehicles. This paper reviews the current research results from two aspects of public and private transportation, focusing on the model construction of charging station location and the selection and optimization of solving algorithms. In the aspect of public transportation, the charging schedule of night station charging and BOT mode operation of fast charging facilities are introduced. Private transportation mainly introduces a variety of charging station location models, such as the model based on user random behavior, the model based on user dynamic demand, and analyzes their advantages and disadvantages; The algorithm and optimization method of solving the model are discussed and analyzed. The findings indicate that in building the urban charging station model, taking into account the interests of society, charging station contractors, and users is essential, and take into account the price of urban land, the price of electricity at different times, and the flow of vehicles, so as to make the model that better aligns with the actual situation. The research offers a valuable reference for the investigation of EV charging station planning.

Academic Journal of Science and TechnologyVol. 13(3)
China University of Mining and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Advanced Algorithms and Applications
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Summary of Research on Electric Vehicle Charging Station Planning — Teng Wang · Academic Journal of Science and Technology (2024) | TGRS Research Map | TGRS