Analysis of large-scale electric vehicles charging behavior using data visualization

摘要

Recently, more and more countries decided to develop electric vehicles especially electric car. However, because of low prices and other issues, electric bicycles have become the most popular electric transportation vehicles in many developing countries. For example, there are more than 210 million electric bicycles in China. Large-scale electric bicycle charging demand from time to space will not only has an impact on power distribution grid, but also has demand side management (DSM) value. In this paper, we introduced a method for estimating the real-time charging load for electric bicycles. Then we visualized demand in space using heat map and power density node. The numerical results illustrate that large-scale electric bicycle charging demand not only has a great peak-valley but also exhibits unbalance in space.