Abstract
The environmental crisis has prompted the development of electric vehicles as a green and environmentally friendly mode of travel. Since a reasonable layout of electric vehicle (EV) charging stations is the prerequisite for developing the EV industry, obtaining an optimal and efficient EV charging station planning scheme is a key issue. Although the Chinese government has carried out a plan to build EV charging piles in residential and working places, it cannot properly fulfill the task of matching the charging needs for public transportation vehicles such as electric taxis (ETs). How to evaluate the performance of fast charging stations (FCSs) and how to help find the optimal ET charging station planning scheme are new challenges. In this paper, an improved destination selection model is proposed to simulate the ET operation system and to help find the optimal ET charging station size with statistical analysis based on the charging need prediction. A numerical case study shows that the proposed method can address ET charging behavior well and can help to statistically determine the size of each ET charging station, which should satisfy the constraints on the preset proportion of the ET charging service requests.
Highlights
The environmental crisis caused by the explosive growth of the population and economics has attracted much attention.Electric vehicles (EVs), as a new type of clean transportation choice, can efficiently relieve the crisis by addressing fossil fuel energy shortages, air pollution, and transportation [1]
Shukla et al [14] propose a multiobjective synergistic planning model of an EV charging station considering the power losses and voltage deviation of the distribution system and EV flow served by the fast charging station (FCS)
The tax operating route is closely related to passenger demand, road conditions, etc
Summary
The environmental crisis caused by the explosive growth of the population and economics has attracted much attention. Xi et al [13] optimize the locations of slow chargers to serve EVs. Shukla et al [14] propose a multiobjective synergistic planning model of an EV charging station considering the power losses and voltage deviation of the distribution system and EV flow served by the fast charging station (FCS). Liu et al [25] propose a comprehensive location selection model for electric vehicle charging stations aiming to minimize the construction cost, operating cost, and convenient transportation of charging stations. In reference [27], the authors aim to study a novel location planning method for fast charging stations in order to achieve the overall optimization of operators, drivers, vehicles, traffic conditions, and power grids.
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