Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China

In view of the existing problems of the electric buses, such as high operation cost of battery swapping, large fluctuation of charging load, and inconsistent interest demands of all parties involved in battery swapping, the operation scheduling strategy and the battery swapping strategy of electric buses are jointly modeled in detail. First, taking the lowest total operation cost as the optimization objective and the number of vehicles that can be put into operation and the number of swapping batteries as the constraints, the matching model between the swapping battery pack and the battery swapping demand of the vehicle chains is established, and the improved genetic algorithm is used to solve the model. Then, taking the minimum fluctuation of charging load as the optimization objective and the charging demand and the continuity of the charging process as the constraints, a quadratic programming model is established and the optimal charging strategy of each battery pack is solved. In addition, this paper establishes the corresponding processing models of uncoordinated charging strategy of battery packs and handling strategy to deal with abnormal operation conditions. Finally, the battery swapping strategy formulation of a three-line electric bus cluster is taken as an example to verify the model. The results show that the proposed model can meet the requirements of the lowest total operation cost and minimum charging load fluctuation, and meet the interests of all parties involved in battery swapping.