整流器(神经网络)
功率因数
总谐波失真
控制器(灌溉)
MATLAB语言
计算机科学
谐波
功率(物理)
汽车工程
电气工程
精密整流器
电池(电)
工程类
电压
物理
农学
量子力学
循环神经网络
机器学习
操作系统
生物
随机神经网络
人工神经网络
作者
R. Gowthamraj,Chockalingam Aravind Vaithilingam,O. K. S. Prakash
出处
期刊:Nucleation and Atmospheric Aerosols
日期:2019-01-01
卷期号:2137: 030003-030003
被引量:18
摘要
Battery Electric Vehicles (BEVs) are a promising technology that can be replaced with ICE driven cars to reduce global warming effects. In 2030 the number of BEVs will rise to 18% compared to ICE vehicles. Recently, the charging stations are the bottlenecks to increase the BEVs. When the BEVs connected to the charging stations, the quality of the power is reduced and failed to meet IEEE standards. In this paper, the Vienna rectifier with a power factor correction (PFC) controller is proposed. The Vienna rectifier is the favourite choice for the high power applications for its merits such as less number of switches, simple structure, high power density, and it can able to realize the unity power factor and total harmonic distortion to less than 5%. The Vienna rectifier is controlled with a PFC controller to minimize the power quality issues such as power factor and total harmonic distortion. The simulation of Vienna rectifier with PFC controller is done by using MATLAB/Simulink, and the quality of the power is analyzed and compared. The effectiveness of the Vienna rectifier is verified by using MATLAB/Simulink.
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