A bidirectional power converter for an electric car was the subject of this article, which focused on its design and modelling. Batteries, a bidirectional dc-dc converter, and a dc machine make up the power electronics block. In this study, we work to enhance the dynamic performance of a bidirectional dc-dc converter. Additionally, an innovative control strategy is discussed that uses ANN algorithms to regulate the input voltage adaptively. The first step in the process of operating the DC-DC converter through an ANN algorithm is the classification of adaptive input voltages. The voltages are then anticipated. These voltage levels are used in several simulators. To sum up, the suggested approach is very efficient and effective. Torque readings of a dc machine run in rotor and generator modes are used to identify the power converter's mode of operation. It has been ensured that the battery charging and discharging cycles are managed in accordance with the various dc machine modes of operation.