Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
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Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
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Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
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Blockchain Framework for Communication between Vehicle through IoT Devices and Sensors
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Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
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A Review on Data Securing Techniques using Internet of Medical Things
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Machine Learning Algorithms Performance Analysis for VLSI IC Design
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Maximizing the Prediction Accuracy in Tweet Sentiment Extraction using Tensor Flow based Deep Neural Networks
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Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4
DDOS ATTACK DETECTION IN TELECOMMUNICATION NETWORK USING MACHINE LEARNING
Volume-1 | Issue-1
Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3
Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2
Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2
Construction of a Framework for Selecting an Effective Learning Procedure in the School-Level Sector of Online Teaching Informatics
Volume-3 | Issue-4
Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2
Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2
Characterizing WDT subsystem of a Wi-Fi controller in an Automobile based on MIPS32 CPU platform across PVT
Volume-2 | Issue-4
Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4
Design of Data Mining Techniques for Online Blood Bank Management by CNN Model
Volume-3 | Issue-3
Ethereum and IOTA based Battery Management System with Internet of Vehicles
Volume-3 | Issue-3
Volume - 4 | Issue - 1 | march 2022
Published
09 May, 2022
The conventional Electric Vehicle(EV) battery charging systems with power factor correction circuits have limitations due to conduction losses present in the input side bridge rectifiers. This paper presents a Bridgeless Isolated Single-Ended Primary Inductance Converter (SEPIC) with improved power factor and reduced THD to increase performance. Throughout the charging time of the Electrical Vehicle, the input side maintains a near-unity power factor. Because the DBR is eliminated, the current is conducted through a smaller number of devices, resulting in considerable reductions in conduction losses. This optimizes the charging system's efficiency in alternative to the existing BL SEPIC converter. A constant current/constant voltage controlling mode is used to charge the EV battery, which delivers good results in terms of intrinsic PFC and decreased THD, hence increasing the charging performance of this system.
KeywordsBridgeless Isolated SEPIC converter CC/CV mode Total Harmonic Distortion (THD) Discontinuous conduction mode (DCM)
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