This paper presents an automated fast charging infrastructure for the electric vehicle battery charging to meet the daily trip schedule with minimum number of vehicles. The charging infrastructure includes power conversion and automated charging. Power conversion stage is designed with uncontrolled bridge rectifier for the front end rectification and boost converter in the dc-dc conversion stage to meet nominal voltage for battery. The charging process is automated for identifying the car arrival events, number of cars present in parking lot and measuring the SOC and charging circuit control through FPGA. The simulation and experimental results are presented to validate the proposed charging system.
Electric Vehicle, State-of-Charge(SOC), FPGA, Battery-to-battery circuit, Boost convertor, 3phase full bridge Rectifier, Charging circuit,Control Circuit
The Analysis of Gravitropic Setpoint Angle Control in Plants.
Roychoudhry S, Del Bianco M, Kepinski S
Methods in molecular biology (Clifton, N.J.). 2022; 2368(): 133-151
Application of Nanoparticle-Mediated RNAi for Efficient Gene Silencing and Pest Control on Soybean Aphids.
Yan S, Shen J
Methods in molecular biology (Clifton, N.J.). 2022; 2360(): 307-315
Inactivation and risk control of pathogenic microorganisms in municipal sludge treatment: A review.
Li M, Song G, Liu R, Huang X, Liu H
Frontiers of environmental science & engineering. 2022; 16(6): 70
Plant-Mediated RNA Interference Expressing dsRNA in Cytoplasm for RNAi-Based Pest Control.
Methods in molecular biology (Clifton, N.J.). 2022; 2360(): 209-216
Examination of the Suitability of Attractive Target Genes for RNAi-Based Pest Control.
Methods in molecular biology (Clifton, N.J.). 2022; 2360(): 175-185