1. National Active Distribution Network Technology Research Center Beijing Jiaotong University Beijing 100044 China; 2. Potevio New Energy Co., Ltd Beijing 100080 China
Abstract：The technology developments of batteries and charging techniques would promote the large-scale applications of electric vehicles. Pure electric taxis play an important role in the demonstration operation stage. As the most critical part of the infrastructure, the allocation quantity of the charging spots will directly affect the operation of the charging station and the construction costs. The behavior and characteristics of the electric taxis are analyzed based on the actual operational data of Shenzhen electric taxis, which is divided into two different time periods. Two electric taxi charging station service system models are established based on the queuing theory. Taking the minimum total cost of entire electric charging station service system as the objective function, the electric taxi charge spots optimal allocation model is proposed. The practical example simulation results of Shenzhen Nanshan local tax charging station verify the feasibility of the model. The number of the optimal charging spots is smaller than that of the current configuration. Through the optimal allocation of the charging spots, the cost of the charging station service system is reduced with minimal impact on the electric taxi charging to achieve a win-win.
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2015, Vol. 30 
