Design and Performance of Switched Reluctance Motor Model in Single Pulse Conduction Mode for Electric Vehicle Application

2021 ◽  
Author(s):  
Farha Siddique ◽  
Sharankumar Shastri ◽  
Bhim Singh
Keyword(s):  
Electric Vehicle ◽  
Single Pulse ◽  
Switched Reluctance Motor ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
And Performance ◽  
Conduction Mode ◽  
Motor Model

Modeling and Performance Analysis of Switched Reluctance Motor in Electric Vehicles

2014 ◽  
Vol 532 ◽  
pp. 26-30
Author(s):  
Yue Ying Zhu ◽  
Jiang Feng Mou
Keyword(s):  
Performance Analysis ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Dynamic Performance ◽  
Switched Reluctance Motor ◽  
Power Performance ◽  
Nonlinear Dynamic Model ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
And Performance

The power performance of the Switched Reluctance Motor (SRM) drive used in electric vehicles is very important for improving the dynamic performance of the vehicle and matching the parameters of the vehicle power train. In order to analyses the drive performance of the SRM drive under the electric vehicle, the nonlinear dynamic model of the SRM drive is established in the MATLAB/Simulink environment. Then the vehicle dynamic load model is designed to connect with the SRM drive model, and the performance analysis of the SRM used in the developing electric vehicle is carried out based on power output and equivalent power factor. The analysis results are significant for the design and improvement of the electric vehicle.

Switched Reluctance Motor Initial Design for Electric Vehicle using RMxprt

2017 ◽  
Vol 8 (3) ◽  
pp. 1080
Author(s):  
Kasrul Abdul Karim ◽  
Nurfaezah Abdullah ◽  
Auzani Jidin ◽  
Tole Sutikno
Keyword(s):  
Electric Vehicle ◽  
Analytical Formula ◽  
Switched Reluctance Motor ◽  
Flux Linkage ◽  
Switched Reluctance ◽  
Output Performance ◽  
Output Torque ◽  
Electric Scooter ◽  
Reluctance Motor ◽  
Motor Model

This paper presents a design and development of 8/6 switched reluctance motor for small electric vehicle using analytical method. The absent of permanent magnet, inherent fault tolerance capabilities, simple and robust construction make this motor become more attractive for small electric vehicle application such as electric scooter and go-kart. The switched reluctance motor is modelled using analytical formula in designing process. Later, the designed model is analyzed using ANSYS RMxprt software. In order to achieve 5kW power rating and to match with the design requirement, the switched reluctance motor model has been analyzed using RMxprt tools for the preliminary parameters design process. This tools is able to predict the output performance of motor in term of speed, flux linkage characteristic, output torque and efficiency.

Efficiency Improvement of Switched Reluctance Motor by Single-Pulse Control with Variable Excitation Period

2015 ◽  
Vol 135 (3) ◽  
pp. 284-290 ◽  
Author(s):  
Yoshihiro Nakazawa ◽  
Kazuhiro Ohyama ◽  
Hiroaki Fujii ◽  
Hitoshi Uehara ◽  
Yasushi Hyakutake
Keyword(s):  
Single Pulse ◽  
Switched Reluctance Motor ◽  
Efficiency Improvement ◽  
Pulse Control ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Excitation Period

scholarly journals Optimization and Characteristics Analysis of High Torque Density 12/8 Switched Reluctance Motor Using Metaheuristic Gray Wolf Optimization Algorithm

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 2013
Author(s):  
Md Sydur Rahman ◽  
Grace Firsta Lukman ◽  
Pham Trung Hieu ◽  
Kwang-II Jeong ◽  
Jin-Woo Ahn
Keyword(s):  
Switched Reluctance Motor ◽  
Optimization Process ◽  
Grey Wolf Optimizer ◽  
Gray Wolf ◽  
Switched Reluctance ◽  
Torque Density ◽  
Optimization Constraints ◽  
Reluctance Motor ◽  
Characteristics Analysis ◽  
And Performance

In this paper, the optimization and characteristics analysis of a three-phase 12/8 switched reluctance motor (SRM) based on a Grey Wolf Optimizer (GWO) for electric vehicles (EVs) application is presented. This research aims to enhance the output torque density of the proposed SRM. Finite element method (FEM) was used to analyze the characteristics and optimization process of the proposed motor. The proposed metaheuristic GWO combines numerous objective functions and design constraints with different weight factors. Maximum flux density, current density, and motor volume are selected as the optimization constraints, which play a significant role in the optimization process. GWO performs optimization for each iteration and sends it to FEM software to analyze the performance before starting another iteration until the optimized value is found. Simulations are employed to understand the characteristics of the proposed motor. Finally, the optimized prototype motor is manufactured and performance is verified by experiment. It is shown that the torque can be increased by 120% for the same outer volume, by using the proposed method.

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