Dynamic Programming Based Optimised Energy Management Strategy

Abstract

A bidirectional dc/dc on-board charger for EV battery discharging/charging application is a preferable choice for V2G and G2V compatibility. It is useful for EV applications since isolated converters favour working with high power densities over a variety of loads. The bidirectional converter performs the stepup and stepdown operation at zero voltage switching for all power switches in both directions. EVs can be connected to the grid using either direct or indirect architectures, which are two different forms of architecture. Under the direct architecture, there is just one communication channel available for use by the EV and the grid system operator. The older design is the main topic of this essay. When electric vehicles (EVs) connect to the grid to provide various V2G services, they participate in continual charge-discharge cycles. These cycles may be of great concern to the owners of the vehicles because the cost associated with the degeneration of the EV batteries needs to be investigated and analysed. The strategy based on reinforced learning will be able to present a solution which is close to the optimal solution achieved by suing dynamic programming.