The growth of Electric Vehicles (EV) moving towards to go green in the world. The high cost of EVs mainly depends on an electric motor. The Switched Reluctance Motor (SRM) speed-torque characteristics are perfectly suited for EV drive. Compared to other poly-phase machines, the SRM has high performance, magnet less, fault-tolerant, and high durability. The design has been carried out on electric vehicle grade modelling with different super core materials. This paper proposes the rating of 3kW, 3500rpm, and 8/6 topology by selecting stator and rotor optimal geometric parameters to design an efficient SRM configuration. The design step analyses the flux distribution uniform materials to analyze the performance of flux density, power, torque density, losses, efficiency, and torque ripple analysis. The finite element analysis is comparatively selected to improve the accuracy of material simulation for EV-SRM using Ansys Maxwell software to optimize the design for weight reduction, changing induction to reduce the acoustic noise.
The magnetless electrical machine Switched Reluctance Motor (SRM) for low-cost Electric Vehicles (EVs) drive. Compared to induction motor and permanent magnet synchronous motor, the SRM has simple steel rotor construction, high reliability, high fault tolerance capability, wide operating frequency range, high constant power speed range, high-temperature operation, and low-cost steel materials. This paper design was carried out for EV grade 1200kg drive optimal duty cycle characteristics, SRM topology optimized the 8/6 geometry rating for 20kW and 2750rpm. The SRM rotor modification comparison performance of torque, efficiency, line current, and power for EVs. The five rotor modifications are rotor round teeth, straight teeth, taper and round teeth, taper and straight teeth, and straight and round rotor teeth are analyzed using the finite element method. The optimized geometry model analyses using JMAG software and compared with all rotor modifications for the improving performance on torque density, operating efficiency, rated power, and speed for EVs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.