Impact of Yoke Thickness variations on Operating Performance of Switched Reluctance Motors: Quantitative Analysis

Environmental concerns, notably greenhouse gas emissions and global warming, underscore the urgent need for sustainable transportation alternatives. Among the various motor types, Switched Reluctance Motors (SRMs) have emerged as promising candidates for powering these small-scale electric vehicles. Their wide constant power range, and favorable torque-speed characteristics make them well-suited for applications such as EV. To ensure optimal SRM performance, a meticulous design process is crucial. In this study, our investigation focuses on analyzing the effects of changing the pole geometry of the stator and rotor yoke thickness, ranging from 5 mm to 10 mm. By employing ANSYS Finite Element Analysis (FEA) simulations, our research aims to identify the optimal yoke thickness that enhances motor efficiency, power output, torque, flux linkage and flux density. Our findings reveal that specific combinations of stator and rotor yoke thickness significantly influence SRM performance. Notably, we achieve a peak efficiency of $63.777 \%$, a maximum power output of 555.22 W, and a torque of 7.23 Nm. These insights provide valuable guidance for designing and optimizing SRMs in electric vehicle applications, ultimately contributing to improved performance and energy efficiency.

Authors

Institutions

Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1109/mpseciceta64837.2025.11118932
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Yoke Thickness variations on Operating Performance of Switched Reluctance Motors: Quantitative Analysis

P. Balakrishnan, M R Sindhu, Atul Kumar Singh
Electric Motor Design and Analysis
article

Impact of Yoke Thickness variations on Operating Performance of Switched Reluctance Motors: Quantitative Analysis

P. Balakrishnan, M R Sindhu, Atul Kumar Singh
article en

Abstract

Environmental concerns, notably greenhouse gas emissions and global warming, underscore the urgent need for sustainable transportation alternatives. Among the various motor types, Switched Reluctance Motors (SRMs) have emerged as promising candidates for powering these small-scale electric vehicles. Their wide constant power range, and favorable torque-speed characteristics make them well-suited for applications such as EV. To ensure optimal SRM performance, a meticulous design process is crucial. In this study, our investigation focuses on analyzing the effects of changing the pole geometry of the stator and rotor yoke thickness, ranging from 5 mm to 10 mm. By employing ANSYS Finite Element Analysis (FEA) simulations, our research aims to identify the optimal yoke thickness that enhances motor efficiency, power output, torque, flux linkage and flux density. Our findings reveal that specific combinations of stator and rotor yoke thickness significantly influence SRM performance. Notably, we achieve a peak efficiency of $63.777 \%$, a maximum power output of 555.22 W, and a torque of 7.23 Nm. These insights provide valuable guidance for designing and optimizing SRMs in electric vehicle applications, ultimately contributing to improved performance and energy efficiency.

Amrita Vishwa Vidyapeetham (IN)
Affordable and clean energy
Openalex Percentile: Top 80%
Electric Motor Design and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Impact of Yoke Thickness variations on Operating Performance of Switched Reluctance Motors: Quantitative Analysis — P. Balakrishnan, M R Sindhu, et al. · (2025) | TGRS Research Map | TGRS