FEA based fast topology optimization method for switched reluctance machines

Tekgun, Didem; Tekgün, Burak; Alan, İrfan

doi:10.1007/s00202-021-01453-9

Cited by 4 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various combinations of stators and rotor poles with different numbers of phases are possible. The desired torque Energies 2023, 16, 7320 3 of 20 speed and torque ripple characteristics, converter and controller requirements, mechanical tolerances, switching frequency, and rotor position measurement precision are just some factors that will determine the number of rotor poles, stator poles, and phases in a SRM [10]. One of the operational parameters that affect SRM performance is the saliency ratio.…”

Section: Srm Operationmentioning

confidence: 99%

Saliency Ratio-Based Torque Enhancement of Switched Reluctance Motors for Electric Bikes

Ghani,

Khalid,

Rehman

2023

Energies

View full text Add to dashboard Cite

Switched reluctance motors (SRMs) face challenges in achieving high performances in terms of the power factor, torque per ampere, and torque ripples. Although several parameters impact their performance, magnetic saliency has a significant impact. This paper presents a study on the influence of the saliency ratio on the performance of switched reluctance motors. A detailed design procedure for a mid-drive electric motor for a high-performance electric bike is presented. A systematic methodology is adopted to estimate the power rating for desired vehicle performance while considering the vehicle’s mechanical and aerodynamic parameters. Additionally, the paper discusses and analyzes the design of two SRM motor configurations with different rotor poles (6/4 and 6/10) while performing magnetostatic analysis for generated torque validation. A parametric study is performed on the 6/10 SRM design for further improvement in the torque profile while keeping the same fill factor and electrical loading. Furthermore, the transient analysis in Ansys Maxwell 2D for both SRMs confirms the designed performance. The results shows that the SRM with higher rotor poles (6/10) is a better choice.

show abstract

Section: Srm Operationmentioning

confidence: 99%

Saliency Ratio-Based Torque Enhancement of Switched Reluctance Motors for Electric Bikes

Ghani,

Khalid,

Rehman

2023

Energies

View full text Add to dashboard Cite

show abstract

“…Evolutionary algorithms perform better than other algorithms, especially for electric machine optimization and parameter estimation tasks [24,25], in terms of the speed of the convergence and the quality of the final results. Algorithms like the genetic algorithm (GA) [26] and differential evolution (DE) [27] lie within the evolutionary optimization algorithm boundaries.…”

Section: Modified Equivalent Circuit Parameter Determinationmentioning

confidence: 99%

Modified Induction Machine Equivalent Circuit Including Solid Shaft Eddy Currents

Tekgun

2023

Machines

Self Cite

View full text Add to dashboard Cite

The shaft eddy currents cause a significant saturation in two-pole induction machines (IMs) as they generate an opposing field and repulse the main flux, thus tightening the flux path. This results in inaccurate performance estimations with the magnetizing inductance measured in no-load conditions when the machine is loaded. This article presents a modified IM equivalent circuit considering the rotor back iron saturation effects caused by the solid shaft eddy currents using experimental measurements and recursive parameter estimation techniques. The classical equivalent circuit (CEC) parameters are determined with the standard test techniques followed by the parameter estimation of the newly introduced modified equivalent circuit (MEC) parameters. The proposed modified equivalent circuit is benchmarked with CEC and finite element analysis (FEA) simulations with and without considering eddy effects. The proposed MEC model and the FEA that consider eddy effects performed better than the other models and yielded a negligibly small error over a wide range of loading conditions. Compared to the FEA, the proposed MEC estimates the IM performance much faster, which makes it more appealing for IM performance estimations.

show abstract

Instantaneous torque error compensation based online torque sharing function for Switched reluctance Machines

Genc

Tekgün

2023

Alexandria Engineering Journal

View full text Add to dashboard Cite

FEA based fast topology optimization method for switched reluctance machines

Cited by 4 publications

References 25 publications

Saliency Ratio-Based Torque Enhancement of Switched Reluctance Motors for Electric Bikes

Saliency Ratio-Based Torque Enhancement of Switched Reluctance Motors for Electric Bikes

Modified Induction Machine Equivalent Circuit Including Solid Shaft Eddy Currents

Instantaneous torque error compensation based online torque sharing function for Switched reluctance Machines

Contact Info

Product

Resources

About