In view of the low utilization rate of existing charging resources, the occupation of fixed charging parking Spaces, and the difficulty in expanding and upgrading fixed charging facilities caused by insufficient capacity of the distribution network, mobile charging facilities have become a feasible measure to alleviate the imbalance between the supply and demand of piles. In this paper, the path planning model of integrated scheduling service for mobile charging facilities is studied for the scenario that charging facilities are in short supply when EV charging is unordered. A dynamic traffic network model including road impedance and node impedance was established by graph theory analysis, and Dijkstra algorithm was used to search the optimal service path. The matching relationship between charging stations and mobile charging facilities is taken as the input value, and the optimal service path of the distribution vehicle is determined with the goal of minimizing the dispatching cost of the mobile charging service center.