With the increase in the number of electric vehicle (EV) in recent years, the demand for charging and battery swapping facilities of new energy vehicles is also increasing. However, a single-function charging facility cannot meet the charging and battery swapping needs of different types of vehicles. To address this issue, a hybrid planning method for charging piles and battery swapping stations is proposed. First, massive ride-hailing order data is mined to extract travel features and the spatio-temporal distribution of charging and battery swapping demands. Based on the charging demand, a charging pile planning model is established to determine the scale of charging piles in each functional area, ensuring convenient charging for EVs. In view of the high cost of staggered operation of battery swapping stations, a two-layer planning model that integrates ordered charging is constructed, and each target cost is solved using an improved Grey Wolf optimization (GWO) algorithm. Finally, by taking the second ring traffic network of Chengdu City and the IEEE 33 node system as examples, the planning of the battery swapping stations under unordered and ordered charging modes is simulated and analyzed. The results show that the proposed hybrid planning method enables EV users to charge conveniently and quickly. The ordered charging mode for battery swapping stations is both economical and conducive to the stable operation of the distribution network.