Research on the Optimal Pricing Strategy of Electric Passenger Vehicles’ Auxiliary Battery Swapping Station

The way to provide energy supply for electric passenger vehicles by adopting the power exchange mode is an important guarantee to promote the development of the Electric Passenger Vehicles (EPVs) industry. This paper studies a strategy of EPVs assisting Battery Swapping Stations (BSS) to optimize pricing according to the status of the battery in BSS, to reduce the cost of BSS and improve the operating efficiency. This paper first introduces the development status of BSS and its optimization control strategy, then builds a model under a hypothetical research scenario and uses Markov Decision Process to optimize data analysis and processing. Finally, through simulation analysis, it is concluded that this strategy can effectively alleviate the power change congestion problem and reduce the outlay cost of BSS.