Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Permanent magnet synchronous motor

Design and Performance Analysis of Permanent Magnet Synchronous Motor for Electric Vehicles Application

Mustafa Y. Bdewi; Ahmed M. Mohammed; Mohammed M. Ezzaldean

Engineering and Technology Journal, 2021, Volume 39, Issue 3, Pages 394-406
DOI: 10.30684/etj.2021.168120

In electrical vehicle applications, power density plays a significant role in improving machine performance. The main objective of this paper is to design and analyze the performance of in-wheel outer rotor permanent magnet synchronous motor (PMSM) used in electric vehicles based on a previously designed model. The key challenge is to achieve the best machine performance regarding the highest torque density and lowest torque ripple. This work also aims at reducing the machine cost by using permanent magnet (PM) material, which has less energy density than the PM used in the previously designed model. An optimization procedure is carried out to improve the generated torque, keeping the same aspects of size and volume of the selected machine. On the other hand, the other specifications of the machine are taken into consideration and are maintained within the acceptable level. According to their major impact on the machine’s performance, the most important parameters of machine designing is selected during the optimization procedure. This proposed machine is implemented and tested using the finite element software package “MagNet 7.4.1” with Visual Basic 16.0 programming language and MATLAB 9.5 Simulink for post-processing.

PSO-Based EKF Estimator Design for PMBLDC Motor

Ahmed Hammood Abed; Mohammed Moanes E. Ali

Engineering and Technology Journal, 2016, Volume 34, Issue 8, Pages 1651-1665

The estimation of motor state variables is an important criterion in the drive performance, especially for high accuracy required, for that reason it’s-necessary to estimate rotor-position-continuously not for sixty-electrical-degrees as in most existing methods. In this work the speed and position for the rotor of Permanent Magnet Brushless DC Motor (PMBLDCM) was estimated by using extended Kalman filter (EKF), this work is divided into two parts, the first one deals with design and simulation of PMBLDCM with EKF as an estimator, the results are introduced by manually selected EKF parameters (Q & R) matrices, The second one deals with investigation the performance of the use of PSO technique to optimize the performance and operation of EKF, the main use of PSO here is to optimize value for EKF parameters (Q and R), the results proved that by tuning the EKF parameters by PSO the estimated values for speed and position is very-close-to the actual value-(estimation-accuracy is increased). The resultant error clearly decreases when tuned by EKF parameters for example at full load case the speed RMS error is 0.24 for 10μs sampling time, although the RMS error is 9 for 10μs sampling time trial and error selected EKF parameters.