Quantitative calculation and optimization of demand for electric vehicle charging stations

The rapid development of electric vehicles (EVs) requires a reasonable plan in building charging stations. The number of charging stations should meet the charge demand of all users at least. Firstly, based on the statistics of CAAM, the bass diffusion model and the logistic regression forecast are used to obtain the EVs ownership in China in 2020. Secondly, based on the analysis of user trip data (NHTS), the expectation of the average daily mileage of electric vehicles is obtained, and is calculated as the daily average mileage with high reliability. Finally, analogous to the construction of gas stations and taking into account the user's travel habits to classify users, taking the charging stations of the State Grid and the BYD E6 model as an example, the number of charging stations that China needs to build in 2020 is calculated in detail. The calculation method is scientific and can provide a scientific theoretical basis for construction.