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Nowadays, the development of electric vehicles (EVs) is encouraged in China to address the issues about the energy security and the environment. In this study, the impacts of some crucial factors on the total charging load are investigated, such as the charging rate of the charging infrastructures, the battery capacity, the preference of the charging behavior and the penetration level of the charging infrastructures in public places. A methodology is presented to estimate the charging load which needs a sample consisting of the charging schedules of a great number of EVs. As the sample isn't available at present, a real-world travel dataset of conventional vehicles is taken advantage of to generate the sample by simulating EVs considering the factors mentioned above. Thereby, the estimations of the charging load corresponding to the different values of the factors are attained, which is used for investigating the impacts of these factors in turn. Some conclusions are: 1) the charging rate of the charging infrastructures in public places has a small impact on the charging load; 2) although the larger battery capacity leads to the larger power demand, the increment is minor; 3) the preference of the charging behavior of the owners influences the charging load significantly.