The siting planning of EV charging stations involves the interests of transportation network, distribution network, charging station operators and EV users, in order to balance the interests of multiple subjects in the process of charging station planning, this paper firstly simulates the travel paths of EVs based on the travel chain and the shortest path algorithm, calculates real-time EV power, obtains the results of the spatial and temporal distribution of charging demand, and estimates the number of charging stations to be constructed; after that, the multi-objective planning model of the charging station planning is established by using chaotic non-uniform artificial hummingbird algorithm to solve the multi-objective model. After that, the multi-objective planning model of charging station siting with road-electricity coupling is established, and the chaotic non-uniform artificial hummingbird algorithm is used to solve the multi-objective model, and the specific number, capacity and location results of charging station planning are obtained. Finally, a regional traffic road network in Changsha City is extracted, and the charging station planning in a region is realized by combining the traffic flow and coupled with the distribution grid arithmetic example, and the simulation results show that the model in this paper can effectively reduce the cost of traffic congestion, improve the charging travel experience of the users, and maintain the quality and reliability of the grid power supply.