Planning Method of Fast Charging Station for Urban Commercial Vehicles with Fine Road Network Modeling

Increasing the proportion of electric vehicles (EVs) is conducive to energy conservation, emission reduction and national energy security. Commercial vehicles, including taxis and ride-hailing, are important part of EVs. At present, the bottleneck of the development of EVs lies in the limitation of the distribution of fast charging stations, so it is necessary to put forward the planning method of urban fast charging stations serving commercial vehicles. In this paper, origin-destination matrix based on gravity model and actual road information is used to establish a fine road network model. This paper models fast charging demand, establishes the user charging decision-making model, measures the user charging waiting cost based on queuing theory, and establishes a two-layer solving model with the goal of optimizing the comprehensive economy of distribution network, charging station operators and owners. A heuristic algorithm is used to solve the problem, and an example is given to verify the effectiveness and usability of the planning method.

I. Introduction

Optimizing the energy structure in the field of transportation is the top priority in the transformation from fossil energy system to renewable energy system. Electricity, as the carrier of wind energy, solar energy, biomass energy and other renewable clean energy, will become the direction of energy reform in the field of transportation. Therefore, promoting the development of electric vehicles (EVs) is an important measure to realize national energy security strategy and emission reduction policies. Many countries and regions have introduced a timetable for EVs to replace fuel vehicles. The Chinese government has also put forward the vision for the development of EVs in China, which is that by 2035, battery electric vehicles will become the mainstream of vehicles, and public vehicles will be fully electrified.