Summary of Research on Electric Vehicle Charging Station Planning

Teng Wang

doi:10.54097/r7z3a732

Authors

Teng Wang

DOI:

https://doi.org/10.54097/r7z3a732

Keywords:

Electric vehicle; Charging station planning; Particle swarm optimization; Charging requirements.

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.

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