In order to address the issue that the charging service is difficult to make quantitative price, apricing model of electric vehicle charging service based on system dynamics was proposed. The location of charging service network in the Electrical Internet of Things and the relationship between multiple subjects were first analyzed. Then, some other multi-dimension factors were took into account, such as social development, population growth, the scale of the electric vehicle, scientific level, the quantity of charging piles, construction costs, and afterwards the causality between multi-dimensional factors based on historical data was quantified. Finally, a system dynamics simulation model of charging service price was established, then the charging service price was obtained from the model and the impact of various factors on charging service price was analyzed. According to the initial value of the set parameters and different scenarios, the price of charging service and the trend of change was simulated. The simulation results showed that the change curve of electric vehicle charging service price appears to be V-shaped under the setting conditions in the example scenario. In the early stage, the price of charging service decreases gradually, which is mainly affected by the government subsidy policy. In the middle stage, the price increases slightly. The reason is that the government subsidy policy has been continuously weakened, and the charging service network has been further improved, and the newly-built charging facilities have led to an increase in the construction cost. In the later period, the charging service price gradually stabilizes and fluctuates at the peak. At this time, the charging service price is mainly affected by construction cost. The paper provides an operational macro dynamic quantitative analysis model for charging service price, which provides a reference for the operation and planning of charging service network in the future.
