Optimised electric vehicle drive using ANN-controlled induction motor and single inductor multi-port power converter utilising solar and battery sources

This paper presents a single inductor multi-port power converter and an artificial neural network (ANN) controller for improving electric vehicle (EV) drive systems. In this research, the converter ensures seamless power flow and improved energy utilisation, supporting stable operation under varying loads and environmental conditions. The proposed controller dynamically adjusts motor speed and handles power electronics conversions, providing superior performance in managing nonlinearities and transient responses compared to conventional control methods. Furthermore, the increment of the motor speed from 500 rad/sec to 1,000 rad/sec between 0 and 0.35 seconds, the suggested method demonstrated that the ANN controller can handle sudden changes in load references and speed conditions while maintaining stable operation with minimal oscillations or overshoot for 20% increases in the reference voltage. Finally, compared to a PI controller, the results indicate that an ANN controller made speedy adjustments and maintained the intended speed with few variations.