Based on the Dijkstra algorithm and Time-division traffic network, distribution and scale model of public charging station which considering users' optimal choose is proposed. Comprehensive analysis charge probabilities of different state of capacity under various functional areas, and each period characteristics of parked car in industrial, commercial, residential area then the temporal and spatial distribution characteristics of charging demands are analyzed. A new fuzzy Bi-objective optimization approach that can reflect the relevant priority between objectives is presented to strike an effective balance economic objective and user convenience objective. To solve this optimization, the particle swarm optimization is improved. Finally the example analysis verifies correctness and effectiveness of the proposed model.