Isolated DC-DC Converter Fed DC Motor For Bidirectional Electric Vehicular Application
This paper presents the modelling, simulation, and control of an isolated Dual Active Bridge (DAB) DC–DC converter fed DC motor drive for bidirectional electric vehicle (EV) applications. The proposed system consists of a lithium-ion battery, an isolated bidirectional DAB converter with a high-frequency transformer, an LC output filter, and a separately excited DC motor representing the traction motor. Unlike conventional isolated converters that employ fixed-gain Proportional–Integral (PI) controllers, the proposed system employs an Artificial Neural Network (ANN) controller to regulate the converter output voltage by processing the voltage error and change in error through a trained feed-forward neural network. The ANN output determines the optimal phase-shift angle between the two full bridges, which is converted into switching pulses by a discrete PWM generator for the DAB converter switches. The proposed control strategy adapts to the nonlinear characteristics of the converter and motor without requiring manual gain tuning, providing faster transient response, reduced overshoot, lower steady-state error, and improved bidirectional power transfer during motoring and regenerative braking. MATLAB/Simulink results demonstrate stable motor speed regulation, smooth torque and current characteristics, regulated battery voltage and current, and efficient state-of-charge management, confirming the suitability of the proposed ANN-based isolated DAB converter-fed DC motor drive for next-generation electric vehicle application. Keywords— Dual Active Bridge (DAB) Converter, Artificial Neural Network (ANN) Controller, Isolated DC–DC Converter, Bidirectional Power Transfer, Electric Vehicle (EV), DC Motor Drive, Regenerative Braking, Lithium-Ion Battery.