Analysis of torque ripple failure in electric drive for electric vehicle propulsion system

Four types of electric drives are used nowadays for electric vehicle and hybrid vehicle propulsion system. The motors being used today are not very efficient. Brushed DC motor is introduced to overcome this drawback. However, it has the drawback of limited speed due to the brushes and high maintenance. In recent years, the DC Brushless Motor has been effectively employed with electronic commutation. This motor requires high maintenance and the sensors required to operate the motor. At present Switched Reluctance Motor (SRM) are a simple structure, with rugged castration and inexpensive manufacturing potential which make it extremely attractive and more efficient for electric vehicle. However, these merits are overshadowed by its inherent torque ripple, acoustic noise, special converter topology requires discrete insulated gate bipolar transistor and difficult to control. This project focuses on the minimization of torque ripples in four-Phase 8/6 SRM. To generate and obtain fast torque response, using DSP controller. The simulated performance of SRM drive system is presented to validate the proposed DSP controller and it is train by neural network with fast torque response and minimized torque ripple.