scholarly journals A Novel Surface Inset Permanent Magnet Synchronous Motor for Electric Vehicles

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 179 ◽  
Author(s):  
Baojun Qu ◽  
Qingxin Yang ◽  
Yongjian Li ◽  
Miguel Angel Sotelo ◽  
Shilun Ma ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Permanent Magnet ◽  
Electric Vehicles ◽  
Structural Parameters ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Permanent Magnet Synchronous Motors ◽  
Wide Range ◽  
Magnetic Poles ◽  
Flux Weakening

Aiming to successfully meet the requirements of a large output torque and a wide range of flux weakening speed expansion in permanent magnet synchronous motors (PMSM) for electric vehicles, a novel surface insert permanent magnet synchronous motor (SIPMSM) is developed. The method of notching auxiliary slots between the magnetic poles in the rotor and unequal thickness magnetic poles is proposed to improve the performance of the motor. By analyzing the magnetic circuit characteristics of the novel SIPMSM, the notching auxiliary slots between the adjacent magnetic poles can affect the q-axis inductance, and the shape of magnetic pole effects the d-axis inductance of the motor. The combined action of the two factors not only weakens the cogging torque, but also improves the flux weakening capability of the motor. In this paper, the response surface methodology (RSM) is used to establish a mathematical model of the relationship between the structural parameters of the motor and the optimization objectives, and the optimal design of the motor is completed by solving the mathematical model. Experimental validation has been conducted to show the correctness and effectiveness of the proposed SIPMSM.

scholarly journals Structure-variable sliding mode control of interior permanent magnet synchronous motor in electric vehicles with improved flux-weakening method

2018 ◽  
Vol 10 (1) ◽  
pp. 168781401770435 ◽  
Author(s):  
Bin Liu ◽  
Yue Zhao ◽  
Hui-Zhong Hu
Keyword(s):  
Permanent Magnet ◽  
Electric Vehicles ◽  
Direct Current ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Interior Permanent Magnet ◽  
Integral Controller ◽  
Bus Voltage ◽  
Flux Weakening

A kind of flux-weakening control method based on speed loop structure-variable sliding mode controller is proposed for interior permanent magnet synchronous motor in electric vehicles. The method combines maximum torque per ampere with vector control strategy to control electric vehicle’s interior permanent magnet synchronous motor. During the flux-weakening control phase, the anti-windup integral controller is introduced into the current loop to prevent the current regulator from entering the saturated state. At the same time, in order to further improve the utilization rate of the direct current bus voltage and expand the flux-weakening regulating range, a space vector pulse-width modulation over-modulation unit is employed to contravariant the direct current bus voltage. Comparing with the conventional proportional–integral controller, the proposed sliding mode control algorithm shows that it has more reliable control performance. In addition, more prominent flux-weakening performance of the proposed flux-weakening method is illustrated by numerical simulation comparison.

Nonlinear Time-Frequency Control of Permanent Magnet Synchronous Motors

2016 ◽  
Author(s):  
Xin Wang ◽  
C. Steve Suh
Keyword(s):  
Permanent Magnet ◽  
Frequency Control ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Discrete Wavelet ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Time Frequency ◽  
Essential Components ◽  
Wide Range

Permanent magnet synchronous motors are essential components in a wide range of applications in which their unique benefits are explored. However, in order for a permanent magnet synchronous motor to achieve satisfactory performance, particular control frameworks are essential. After all, permanent magnet synchronous motor is an AC machine, which is characterized by its complex structure and strongly coupled system states. Therefore, in order for it to achieve satisfactory dynamic performance, advanced control techniques are the only solution. This paper presents a precise speed control of permanent magnet synchronous motors using the nonlinear time-frequency control concept. The novel aspect of this nonlinear time-frequency control, which is an integration of discrete wavelet transformation and adaptive control, is its ability in analyzing the fundamental temporal and spectral qualities inherent of a permanent magnet synchronous motor and exerting control signals accordingly. Simulation results verifies that the proposed nonlinear time-frequency control scheme is feasible for alleviating the nonlinear behavior of the permanent magnet synchronous motor which hampers the tracking of speed with desired precision.

scholarly journals Optimal design of the rotor geometry of line-start permanent magnet synchronous motor using the bat algorithm

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 965-970 ◽  
Author(s):  
Łukasz Knypiński
Keyword(s):  
Mathematical Model ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Bat Algorithm ◽  
Synchronous Motor ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Basic Language ◽  
Visual Basic Language ◽  
The Mathematical Model

AbstractIn this paper an algorithm for the optimization of excitation system of line-start permanent magnet synchronous motors will be presented. For the basis of this algorithm, software was developed in the Borland Delphi environment. The software consists of two independent modules: an optimization solver, and a module including the mathematical model of a synchronous motor with a self-start ability. The optimization module contains the bat algorithm procedure. The mathematical model of the motor has been developed in an Ansys Maxwell environment. In order to determine the functional parameters of the motor, additional scripts in Visual Basic language were developed. Selected results of the optimization calculation are presented and compared with results for the particle swarm optimization algorithm.

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