The invention relates to an electric-taxi rapid charging station service characteristic analysis method based on a queuing theory. The method is characterized by calculating the charging demand of rapid charging of an electric-taxi user; using a maximum likelihood method and hypothesis testing to estimate the peak time period of a daily charging demand and the parameters of Poisson distribution obeyed by the charging demand in the time period; calculating longest queue lengths under the different number of charging machines and average waiting time; and according to the longest queue lengths and the average waiting time, selecting an optimum charging machine number. In the invention, through carrying out data analysis on the charging behaviors of the potential users of a rapid charging station, a queuing theory mathematics model is established, and the relation of the queue length of the charging station, queuing time and a charging position number is acquired so as to assist the charging station to optimize the number of the charging positions and to increase the economic benefits and the service life of the charging station.