Refined charging strategy for electric buses based on data-driven

Abstract

With the rapid development of electric vehicles, buses, which are an important part of public transportation, have gradually become electrification. Therefore, a refined charging strategy for electric buses based on data-driven is proposed in this paper. Firstly, the charging scene of the bus is discussed, and then the modeling for the power consumption, charging, and queuing behavior of the bus are performed. Secondly, a charging strategy model is constructed with the goal of maximizing charging economy, and the model is solved by reducing the dimensionality by converting the control variables. Finally, based on real data, a certain bus charging station is used to analyze, On the basis of analyzing the information of vehicles, piles, and electricity prices at the station, comparing the current charging behavior with the charging results of the charging strategy proposed in this article under multiple scenarios, it verifies the effectiveness and economy of the refined charging strategy. This approach puts forward a new idea for the charging method and strategy of electric buses in the future.