Analysis and Optimization to the Final Network of Charging Stations

First, we predict Tesla's sales for the next 26 years by Gray Forecast method. Then we use the asymmetric Nash negotiation model to solve the distribution problem of charging stations in the rural areas of the suburbs of cities. Next, we construct a Multi-objective model of the layout of the number of charging stations with considering investment costs of charging stations and the minimization of operating and maintenance costs is established. We divide the service area of charging station with the Voronoi diagram. Combining with the particle swarm optimization algorithm, we obtain the number of optimized charging stations, then, we verify the feasibility and effectiveness of the model. The result of Analysis: The operating efficiency of indicators increased from 4.7% to 5.5%, and the change of efficiency was not sensitive to the change of parameter values. Finally, we point out the shortcomings of the model and give specific recommendations.