Control Structure of proposed method.
Control Structure of proposed method.
Experimental prototype of motor drive.
In a significant step toward advancing electric vehicle technology, the research team led by Dr. Balanthi Abdul R Beig at Khalifa University have developed a new control method to improve the efficiency of electric powertrains with a magnet-less structure. This advancement addresses challenges in electric vehicle (EV) motors arising from the reliance on rare earth magnets.
Focusing on open-end winding induction motors鈥攁 magnet-less alternative crucial for EVs鈥攖he research team employed an Artificial Neural Network (ANN)- assisted control algorithm to enhance the motor performance. The ANN-based control method reduces torque and flux ripple, resulting in smoother and more efficient motor operation. This approach simplifies the computational requirements of motor drives and reduces dependency on motor-specific parameters.
Simulations and laboratory tests have demonstrated that this control method outperforms traditional techniques. Looking ahead, the team plans to integrate this technology into commercial electric vehicles. With this development, Khalifa University continues to make significant contributions to the field of electric mobility, offering solutions to some of the pressing challenges in the EV sector.
