Siting public charge stations for taxis in Beijing based on Monte Carlo simulation

With the rapid increase of electric vehicle number, lacking of charge stations has been the most obvious problem. Although there exist some charge stations in Beijing now and more will be built, it will take a long time due to technological and social constraints. This paper studies the travel behavior of the customer and electric taxi. Based on the density functions of travel distance, departure time and state of charge, Monte Carlo simulation is applied to generate two randomly sequences, which including the departure events with travel distances and the state of charge value. Comparing the value of two sequences, and if the state of charge cannot ensure the travel distance at a certain time point, there's a charge demand. We get the charge demand function by this way, and the peak demand value at a certain time can also be found. Finally, we propose some park-lot-based siting locations and make a sensitivity analysis. The innovation of this paper is using travel behavior to simulate travel events in order to recognize charge demand, and the paper has proposed a model to site charge facilities that can satisfy the current demand of electric taxis.