Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Indonesian Journal of Electrical Engineering and Computer Science
Saif Kh Al-Farhan
University of Mosul
Control & Systems Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Multi-objective optimization of slotted stator switched reluctance motor for electric vehicle application Saif Kh Al-Farhan; Omar Sh Al-Yozbaky
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i3.pp1223-1233

Abstract

The popularity of electric vehicles (EVs) and hybrid electric vehicles (HEVs) is projected to increase as environmental consciousness rises. They have emerged as a potential substitute for traditional electrical machines like the switched reluctance motors (SRMs). SRMs are renowned for their low cost of production and maintenance, built-in fault tolerance, and simple design. Additionally, because the machine's rotor construction does not require copper coils or permanent magnets, production costs are significantly reduced. However, it has disadvantages, including as high non-linearity, high torque ripple, and acoustic noise production. In this research, a method for designing slotted stator teeth switched reluctance motors (SST-SRM) in EVs using a genetic algorithm (GA) optimization design with multiple targets is provided. In order to achieve the best possible balance between peak torque (Tp), average torque (Tavg), and efficiency, the developed optimization function is chosen. The stator/rotor pole arc angle and slot width/depth are chosen as the optimized variables. When compared to traditional SRM, the optimization results of proposed SST-SRM demonstrate improvements in peak torque (24.40%, 36.98%, 42.73%, and 42.45%), average torque (7.40%, 29.94%, 33.00%, and 33.62%), and efficiency (0.27%, 0.52%, 0.97%, and 1.03%).
Optimizing stator/rotor pole ARC for torque and economy in electric vehicle switched reluctance motors Saif Kh Al-Farhan; Omar Sharaf Al-Deen Yehya Al-Yozbaky
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1421-1432

Abstract

Numerous researchers as well as the vehicle industry are paying increasing attention to the switching reluctance motor (SRM) drive. Due to its specialized qualities, SRMs are commonly used in electric vehicle applications. The stator/rotor pole arc of an 8/6 SRM is included in this study's investigation of design principles and performance improvement for poles arcs variation. Several limitations for the stator/rotor pole arc angle are derived for the design principles. These concepts are addressed in the finite element (FE) analysis of SRM topological parameters used in conventional and optimization analysis. The stator/rotor polar arc is tuned for performance using a genetic algorithm (GA) in order to maximize torque and efficiency. An ideal solution is chosen when the optimization results are represented. The proposed method can increase the maximum and average torque with (27.24%, 35.98%, 49.42%, 60.14%), (12.59%, 45.19%, 47.87%, 48.92%) for speeds [900, 1500, 2250, 3000 (rpm)] respectively, As shown by the comparison between the conventional and optimal designs. As well as the efficiency is improved (0.35%, 0.61%, 1.08%, 1.28%) for speeds [900, 1500, 2250, 3000 (rpm)] respectively.
Co-Authors Omar Sh Al-Yozbaky Omar Sharaf Al-Deen Yehya Al-Yozbaky