The bidirectional DC converter for electric vehicle applications is equipped with an artificial neural network (ANN) controller. The ANN controller optimizes the feedback control in the circuit of the electric vehicle (EV) and provides efficient bidirectional power flow. The bidirectional High-gain DC-DC converter can operate in both directions thereby enabling efficient energy recovery during braking. The framework is designed to control the energy flow between voltage sources and provide high voltage conversion ratios for electric vehicles. The converter is equipped with an Artificial Neural Network (ANN) controller and utilizes a battery, bi-directional DC/DC, Pulse Width Modulation (PWM), Brushless DC (BLDC) driver, BLDC motor, and PIC controller components. The proposed design offers an extendable bidirectional capability, allowing it to operate in both bucks and boost modes with high efficiency and reduced power loss. The ANN controller further enhances the converter’s performance by predicting and regulating optimal switching frequency and duty cycle, which qualifies it for EVs with varying load and voltage conditions. Simulation results show how the suggested converter works well in terms of its extended bidirectional capability, improved efficiency, and reduced size, making it a promising solution for EVs.