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https://doi.org/10.17559/TV-20250407002561

Comprehensive Analysis of SRM, AFPM BLDC and IM for Light Electric Vehicles

Bekir Gecer ; Atasehir Adiguzel Vocational School, Yenisehir, Caglayan Sk., 34779 Atasehir/Istanbul *
Ozturk Tosun ; Marmara University, Recep Tayyip Erdogan Kulliyesi Maltepe Yerleskesi Aydınevler Mah, Idealtepe Yolu No: 15, 34854 Maltepe/Istanbul
Rohullah Rahmatullah ; Marmara University, Recep Tayyip Erdogan Kulliyesi Maltepe Yerleskesi Aydınevler Mah, Idealtepe Yolu No: 15, 34854 Maltepe/Istanbul
Necibe Fusun Oyman Serteller ; Marmara University, Recep Tayyip Erdogan Kulliyesi Maltepe Yerleskesi Aydınevler Mah,ž Idealtepe Yolu No: 15, 34854 Maltepe/Istanbul
Alper Nabi Akpolat ; Marmara University, Recep Tayyip Erdogan Kulliyesi Maltepe Yerleskesi Aydınevler Mah, Idealtepe Yolu No: 15, 34854 Maltepe/Istanbul

* Dopisni autor.


Puni tekst: engleski pdf 1.467 Kb

verzije

str. 972-978

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Sažetak

In today's electric vehicle (EV) landscape, the utilization of Switched Reluctance Motors (SRMs), Axial Flux Permanent Magnet Brushless DC Motor (AFPM BLDC), and Induction Motors (IM) has become increasingly prevalent. These types of motors are widely preferred for reducing carbon emissions and their advantages in torque-velocity characteristics. Researchers have been comparing these motor types regarding performance, cost, lifespan, reliability. This study compares the motor behaviour of SRM, AFPM BLDC, and IM under identical output power conditions. Initially, the drive system and the design are conducted to ensure the optimal performance of the motors using the ANSYS program. Subsequently, the efficiency, torque, and currents of the motors are analysed and compared in the context of their application in light EV technology. Finally, the 3D modelling of the motors is obtained using the SolidWorks program, catering to those commercializing the motors. The study will provide a novel and distinctive contribution to the literature by comparing SRM, Axial Flux PM BLDC, and IM motors under identical output power conditions, optimizing motor parameters using a genetic algorithm, evaluating performance parameters through detailed simulations, and presenting SolidWorks 3D models for potential industrial prototyping.

Ključne riječi

analysis; design; efficiency; motors; torque

Hrčak ID:

346707

URI

https://hrcak.srce.hr/346707

Datum izdavanja:

30.4.2026.

Posjeta: 0 *