Torque Ripple Reduction Strategies in Switched Reluctance Motor Using Electromagnetic Computing Tool: A Study for Electric Vehicle Applications

Electric vehicles are an essential part of the present transportation infrastructure. Awareness of environmental issues among people motivates researchers in the field of electric vehicles. An electric vehicle’s motor drive system is its key component. Various kinds of motors are presently used for EV applications like Induction motors, Switched Reluctance motor, Brushless DC motors, Permanent Magnet Synchronous Motors, etc. Comparative study of different drive systems for EV (Electric Vehicle) applications concluded that Switched Reluctance Motor drive systems fulfill nearly all characteristics needed for EV application and also it is having magnet less construction. Switched Reluctance Motors have some limitations for Electric Vehicle application. Torque ripple is main problem in SRM, which results in unwanted vibration and acoustic noise by electric vehicle. Researchers used various techniques for reducing torque ripple and improving performance (i.e., Silent operation and less vibration) of SRM (Switched Reluctance Motor) drive system for electric vehicle. This paper represents the study of torque ripple reduction strategies in Switched Reluctance Motor drive system for low noise Electric Vehicle (EV) application using electromagnetic computing tool, i.e., ANSYS Maxwell software (RMXprt tool). Software simulation results proved that torque ripple reduced from 107.84% to 85.14% by changing air gap and by changing the number of phases it reduced from 171% to 101%.