A Noble Control Approach for Brushless Direct Current Motor Drive Using Artificial Intelligence for Optimum Operation of the Electric Vehicle

Different electric motors have been used as electric vehicle propulsion schemes. As conventional sources are scarce, electric vehicles are emerging nowadays as an alternative solution for transportation. These are the most elegant green transport option, that takes very less power, and possesses high-speed operation compared to conventional vehicles. BLDC motors are suggested for use in an electric vehicle for high-speed noiseless operation, and the absence of brushes makes it almost maintenance-free. Vehicles carry the load for a specific distance within a particular time. And so, the speed and torque control are necessary to reach the destination with minimum expenditure. The less cost of semiconductor devices makes the supply section very economical for BLDC motor. Different control techniques, classical and artificial intelligence controllers, are preferred to control the BLDC motor based electric vehicles. Classical controllers have many benefits, but has a drawback of failure in optimizing system efficiency. Advances in artificial intelligence applications like fuzzy-logic control, neural-network, genetic-algorithm, have substantially affected electric motor drives by providing optimal control. These different AI methods for PMBLDC motor drive are discussed in this chapter to provide guidance and fast reference to readers and engineers researching in the field of an electric vehicle.