Research on the Layout of Urban-decentralized Charging Facilities Based on Classification Research Method

With the rapid development of electric vehicles in China, there is an imbalance between supply and demand in the layout of decentralized charging facilities in some cities. At present, there is more research on the layout of public fast charging stations, while there is less research on the layout of decentralized charging facilities.

This study constructs a quantitative model to optimize the urban layout of decentralized charging facilities, addressing the imbalance between supply and demand.

Based on the classification research method, a predictive model for the distribution of decentralized charging facilities was designed. This model was used to conduct a case study on the planning area of Nantong City, and the carbon emissions and energy saving effects generated by the operation of charging facilities in the area were discussed using comparative analysis.

This study predicted the charging demand for the target year, determined the upper limit, lower limit, and reasonable value of the number of decentralized charging facilities, and determined the number of fast and slow charging devices based on the reasonable value. These charging facilities can effectively meet the charging demand while reducing carbon emissions and urban transportation costs.

This study provides a method for predicting and laying out decentralized charging facilities for urban electric vehicles, which can provide a reference for relevant departments to build decentralized charging facilities in advance to meet the growing demand for charging.