Abstract: Construction of rapid charging stations is one of the most important keys to the popularization of electric vehicles. This paper proposed a multi-objective electric vehicle rapid charging station planning model which considered the profit of customers and charging stations. A sizing model is proposed based on queuing theory aiming at minimizing the capacity satisfying constraints. A locating model aiming at minimizing the construction costs and the distances between customers and charging stations is proposed. The multi-objective problem is transformed into a single objective problem by utilizing weighting coefficients and solved by adaptive simulated annealing genetic algorithm (ASAGA). Subsequently, technique for order preference by similarity to ideal solution (TOPSIS) was utilized to obtain the terminal planning result. The simulation results have demonstrated the effectiveness and feasibility of the proposed model.