Temporal and Spatial Characteristics Analysis of Electrical Vehicle Charging Behaviour Based on SUMO

Abstract

The electric vehicle has attracted widespread attention because of its advantages of emitting few carbon dioxides. Developing electric vehicles is a promising way to reduce carbon emissions. However, the development of electric vehicles relies on infrastructure construction, such as charging piles and the power grid. The analysis of electric vehicles’ charging behavior is the basis for promoting these infrastructure constructions. In this paper, the software of Simulation of Urban MObility is applied to study the spatial and temporal characteristics of EV charging behavior based on the travel chain framework. This paper proposes a method for EV charging load forecasting and visualization based on Simulation of Urban MObility. An actual case of Nanjing city has been studied, and the results show that this method can effectively deliver the change of charging demand load in each region. At the same time, Simulation of Urban MObility can help visualize how each vehicle is moving.