With the development of the electric vehicle dynamic wireless charging technology, aiming at the current incomplete theoretical work of dynamic wireless charging modeling, dynamic charging load model is established according to road conditions, and different power is assigned to different vehicles through clustering of EV models and states, so as to complete the establishment of dynamic charging load. Wavelet neural network is used to process and predict the timing sequence information, and then combined with back propagation neural network to predict the traffic flow on the charging road, and the short-term traffic flow forecasting accuracy is 85%. Fuzzy C-means algorithm is used to divide the charging type of EV and the charging power corresponding to the type, and the EV entering the charging road is divided into 7 types. The corresponding charging power is allocated according to various charging types to complete the daily load modeling.