scholarly journals DYNAMIC PERFORMANCE ANALYSIS AND CONTROL OF A SWITCHED RELUCTANCE MOTOR FOR ELECTRIC VEHICLE APPLICATIONS

2007 ◽  
Vol 30 (2) ◽  
pp. 133-141
Author(s):  
A. A. Abd El-Salam ◽  
Mohamed A. El-khazendar
2014 ◽  
Vol 532 ◽  
pp. 26-30
Author(s):  
Yue Ying Zhu ◽  
Jiang Feng Mou

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.


2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Funing Yang ◽  
Yanyang Wang

Switched reluctance motor (SRM) has got great attention in in-wheel motor electric vehicle (IWM-EV), but SRM vertical force, the vertical component of SRM unbalanced radial force, yields SRM vertical vibration and does harm to dynamic performance of IWM-EV. In order to reduce the SRM vertical vibration, electromagnetic active suspension and a linear quadratic Gaussian (LQG) controller were used to suppress the unbalanced radial force in this paper. All the models and the controller were constructed in Matlab/Simulink R2015b. The controller considers five performance indexes: vehicle body acceleration, SRM airgap eccentricity, SRM stator acceleration, suspension dynamic deflections, and tyre deformation. Analytic Hierarchy Process (AHP) was used to calculate the weighted coefficients of performance indexes. Simulations indicate that this electromagnetic active suspension can reduce SRM vertical vibration obviously and improve dynamic performance of IWM-EV.


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