bldc motor
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2022 ◽  
Vol 70 (2) ◽  
pp. 2435-2452
Author(s):  
M. Premkumar ◽  
Pradeep Jangir ◽  
B. Santhosh Kumar ◽  
Mohammad A. Alqudah ◽  
Kottakkaran Sooppy Nisar

Author(s):  
Ali A. Yousif ◽  
Ahmed M. Mohammed ◽  
Mohammed Moanes E. Ali

A bearingless brushless direct current (BLDC) motor incorporates the function of magnetic bearings into a BLDC motor, making it a new type of high-performance motor. In this paper, the main motor windings are used to generate the radial force cancellation by injecting the required dc current, “integrated winding configuration”. The bearingless BLDC motor, direct current (DC) cancellation system model is established with the aid of (ANSYS/MAXWELL) software. The simulation results confirm that the rotor radial force is approximately zero and results from a balanced distribution of the magnetic flux density. The proposed DC excitation system is suitable to realize the rotor radial force cancellation in the bearingless BLDC motor. The simulation results of the proposed configuration show the approach of integrating winding configuration at different active pole positions to find the more efficient suspension performance and reduce the suspensions system current.


Author(s):  
Praveen Vankadari

Abstract: Because of rising air pollution and finite oil supplies, the transportation sector is transitioning from IC engine vehicles (ICEV) to EV (Electric Vehicle). However, because of the constraints imposed by the energy storage, there are still some questions about EV's performance and dependability. In our proposed system, a comprehensive analysis has been carried out on a Light EV configuration having a propulsion system driven by a BLDC motor supplied by a Energy storage system (ESS) consisting of a Battery or Supercapacitor. To gain an understanding of the electric vehicle driving dynamics, it is first simulated based on fundamental knowledge about electric vehicles. Then each component and their modelling with control strategies are developed to get a clear picture of the computation of various constraints in EV during its operation. Later parts of this study are dedicated to examining their energy and power management during the acceleration and deceleration phases of the vehicle for battery and supercapacitor standalone operations separately with their key results tabulated using MATLAB/Simulink. Keywords: EV (Electric Vehicle), BLDC motor, Energy storage system, Battery, Supercapacitor, Energy Management System.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
K. Karthick ◽  
S. Ravivarman ◽  
Ravi Samikannu ◽  
K. Vinoth ◽  
Bashyam Sasikumar

The cogging torque is the most significant issue in permanent magnet applications, since it has a negative impact on machine performance. In this article, the impact of magnetic materials on cogging torque is analyzed on brushless DC motors (BLDC). The effect of neodymium magnets (NdFeB), compression molded magnet, and samarium cobalt (SmCo) magnet on the cogging torque is analyzed to the BLDC motor designed for hybrid electric vehicle traction that has the peak power rating of 50 kW motor with 48 stator slots and 8 rotor poles. With the presence of these three magnetic materials, the cogging torque is estimated independently using multiposition simulation. The multiposition is simulated using a transient application that runs at constant speed. The results of cogging torque, rotational speed, angular position of BLDC motor, and magnetic flux density distribution have been presented. Also, the maximal, mean, minimal, rectified mean, and rms values of cogging torque were provided.


2021 ◽  
Vol 11 (6) ◽  
pp. 7846-7852
Author(s):  
M. Hussain ◽  
A. Ulasyar ◽  
H. Sheh Zad ◽  
A. Khattak ◽  
S. Nisar ◽  
...  

The main objective of this paper is to study the effect of phase numbers in the dual rotor Brushless DC (BLDC) motor for its application in Electric Vehicles (EVs). The performance of two novel 5-, and 7-phase dual rotor BLDC motors is compared against the standard 3-phase dual rotor BLDC motor. The proposed motors combine the positive characteristics of multiphase BLDC motor and the dual rotor BLDC motor thus achieving better fault tolerance capability, high power density, and less per phase stator current. Finite Element Method (FEM) was used to design the 3-, 5-, and 7-phase dual-rotor BLDC motors. The design parameters and operating conditions are kept the same for a fair comparison. The stator current and torque performance of the proposed motors were obtained with FEM simulation and were compared with the standard 3-phase dual rotor BLDC motor. It is possible to use low power rating power electronics switches for the proposed motor. The simulation results also validate low torque ripples and high-power density in the proposed motors. Finally, the fault analysis of the designed motors shows that the fault tolerance capability increases as the phase number increases.


Circuit World ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bharathi Sankar Ammaiyappan ◽  
Seyezhai Ramalingam

Purpose The conventional two-level inverter suffers from harmonics, higher direct current (DC) link voltage requirement, higher dv/dt and heating of the rotor. This study aims to overcome by using a multilevel inverter for brushless DC (BLDC) drive. Design/methodology/approach This paper presents a comparative analysis of the conventional two-level and three-level multilevel inverter for electric vehicle (EV) application using BLDC drive. Findings A three-level Active Neutral Point Clamped Multilevel inverter (ANPCMLI) is proposed in this paper which provides DC link voltage control. Simulation studies of the multilevel inverter and BLDC motor is carried out in MATLAB. Originality/value The ANPCMLI fed BLDC simulation results shows that there is the significant reduction in the BLDC motor torque ripple, switching stress and harmonic distortion in the BLDC motor fed ANPCMLI compared to the conventional two-level inverter. A prototype of ANPCMLI fed BLDC drive along with field programmable gate array (FPGA) control is built and MATLAB simulation results are verified experimentally.


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