Application and Control of Brushless DC Motor for Electric Vehicle

2013 ◽  
Vol 724-725 ◽  
pp. 1398-1401
Author(s):  
Da Fang Wang ◽  
De Ming Bu ◽  
Cheng Zhu ◽  
Chuan Wei Zhou

Brushless DC motor has simple structure, great power density, torque output and high efficiency. It has a broad application prospect for electric vehicle. The conventional scheme of BLDCM drive system adopts motor ontology, power drive circuits and position sensor. BLDCM is usually used with the mode of 3-phase 6-state PWM. Due to its structure and commutation strategy, it has many problems to be solved if works on electric vehicle. The basic operating principle of Brushless DC motor and the basic power drive system was discussed. In addition, investigated the torque ripple, flux-weakening speed control and brake energy regeneration for electric vehicle. Solving these problems can promote BLDCM and electric vehicle industry.

2012 ◽  
Vol 591-593 ◽  
pp. 1651-1654
Author(s):  
Long Wu ◽  
Liu Yi Ling ◽  
Shuai Chen

Due to the good performance of brushless motor, its application is widespread. Brushless DC motor has following advantages that are low interference, low noise, high efficiency and so on, so it was widely used in industrial and control field. But DC motor has larger current commutation torque ripple, greatly reduce their reliability and stability. This design using direct torque control strategy to reduce torque ripple, and compares the control results of PI controller with direct torque control method. In the process of regulating motor’s speed ,When adopts PI controller here has great overshoot and start time of speed is long than direct torque control, current pulse obviously severe than direct torque control. The simulation results show that overall effect of direct torque control is superior than double closed loop control. It fully explains that the control strategy in this paper is effective.


2013 ◽  
Vol 274 ◽  
pp. 363-368
Author(s):  
Jia Bin Wen ◽  
Bin Yang

In this paper, the design of BLDCM fuzzy control system for electric vehicle which bases on TMS320F2812 Digital Signal Processor (DSP) is given. The design methods of hardware and software of the control system are described in details. Using of brushless DC motor current and speed double closed loop control, meanwhile, the fuzzy self-tuning PI algorithm is applied in the control system, and achieve the intelligent control of brushless DC motor control system. In this paper, the PWM control of the overlapping commutation method to suppress torque ripple. Experimental results show that this system has such characteristics as sound controlling effects, obvious restrain of torque pulsation and reliable operation.


Author(s):  
Ankit Rawat ◽  
Mohd Bilal ◽  
Mohd Fazle Azeem

Brushless DC Motor (BLDC) is gaining more and more popularity as one of the best electrical drives nowadays due to advantages like high efficiency, low maintenance, good reliability & wide dynamic response. The traditional brushed motor speed regulation is essentially effective in low speed and unable to lower the commutation torque ripple in high speed range. Speed regulation of Brushless DC (BLDC) motor is done by utilizing PI controller. The PI controller output act as  the input to the variable voltage block. The mathematical modeling of BLDC motor is additionally shown here. The BLDC motor is supplied from the inverter while the rotor position and speed are the input here. The detailed mathematical model of the anticipated drive system is developed and simulated using MATLAB/Simulink environment.  Principle of operation of using component is examined and therefore the simulation results are reported here to verify the theoretical analysis.


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