Abstract: To address the challenges posed by the scarcity of traditional primary energy sources and the aggravation of environmental pollution, environment-friendly electric vehicles, capable of absorbing the electrical energy generated by clean energy, have been vigorously developed. With the proliferation of electric vehicles and charging facilities, the subsequent the disorderly charging behavior of electric vehicles results in a significant impact on the operation of power grid and transportation network, however. To coordinate the operation of power grid and transportation network, an optimal pricing strategy of charging stations is proposed. The branch flow model is employed to describe the power grid, while the Wardrop user equilibrium model is utilized to characterize the transportation network. The objective of achieving the lowest operating cost for the power-traffic network is pursued by employing an adaptive particle swarm optimization algorithm to solve the optimization problem and determine the charging price of each charging station. Finally, the effectiveness and superiority of the proposed optimal pricing strategy are verified through case analysis.