Enhancing Efficiency of Switched Reluctance Motors for Hybrid Electric Vehicles

Reluctance Motors for Hybrid Electric Vehicles


  • Muhammad Tahir University of management and technology Lahore


Switched reluctance motors (SRMs) have a great deal of promise for use in hybrid electric vehicles (HEVs), because to their inherent benefits including fault tolerance, a simple and durable design, and cost-effective manufacture. Nevertheless, a number of issues, including as acoustic noise, torque ripple, and nonlinear magnetic behavior, have prevented the widespread use of this technology. In this work, advanced control approaches are used to evaluate methods for improving the performance and operating capabilities of switched reluctance motors (SRMs) in hybrid electric vehicle (HEV) situations. This work proposes novel controllers that depend on fuzzy logic and artificial intelligence approaches in place of traditional proportional-integral (PI) control. The switching reluctance motor's (SRM) intrinsic nonlinearity may be successfully mitigated by clever controllers, and the frequency of torque pulsations can be greatly decreased. Through the use of simulations, the current research compares a proportional-integral (PI) controller and a fuzzy logic controller (FLC) for a switching reluctance motor (SRM) drive system. The findings show that, in contrast to the usage of PI control, the fuzzy controller produces more effective torque ripple reduction and enhanced flux linearization. This is an example of how switched reluctance motors (SRMs) may be used in applications for electric vehicles (EVs) to increase economy and dynamics by using complex control techniques, such fuzzy logic. In this study, nonlinear switching reluctance motor (SRM) modeling and control are analyzed and simulated. The goal is to make it easier for SRMs to be used more widely in the booming hybrid electric vehicle (HEV) market.