Paper Title

Enhancing Electric Vehicle Grid Integration Efficiency through Vienna Rectifier Converter Technology

Authors

Mohit Singh Chauhan , Prateek Tiwari , Dr. Pramod Sharma

Keywords

EV Electric Vehicle PM Particulate Matters WHO World Health Organization ICEV Internal Combustion Engine Vehicles GHG Greenhouse Gas Emissions BEV Battery Electric Vehicle FC Fuel Cell PEV Pure Electric Vehicle HEV Hybrid Electric Vehicle FCEV Fuel Cell Electric Vehicle REV Range-Extended Electric Vehicle PHEV Plug-In Hybrid Electric Vehicle BSG Belt-Alternator Start Generator ISG Integrated Starter- Generator EVT Electric Variable Transmission DC Direct Current AC Alternate Current FS-MPC Finite Set Model Predictive Control FSF Fixed Switching Frequency HCC Hysteresis Current Controller SRM Switched Reluctance Motor UPF Unity Power Factor WPGS Wind Power Generation Systems DSVM Discontinuous Space Vector Modulation NP Neutral Point BESS Battery Energy Storage System PPC Partial Power Converter PV Photovoltaic SWT Small Wind Turbines PPP Partial-Power Processing VSC Voltage Source Converter

Abstract

Abstract— Protection of the environment has become one of the main tasks of social agents, policymakers and the scientific community due to factors such as greenhouse gas (GHG) emissions, shortage of fossil fuels and volatility of their prices. The emission of greenhouse gases and shortage of fossil fuels have diverted the focus of the scientific community, industry and society on the electric vehicle (EV). In order to decrease CO2 emissions, cutting-edge policies and regulations are being imposed worldwide, where the use of EVs is being encouraged. In the best of scenarios reaching 245 million EVs by 2030 is expected. Proper use of EVs requires the installation of a wide grid of charging stations and it is very important to set up the best charging power topology in terms of efficiency and impact in the grid. After nearly a century with the internal combustion engine dominating the transportation sector, it now appears that the electric vehicle is on the verge of experiencing rapid growth in both developed and developing vehicle markets. The internal combustion engine has an advantage over the electrical engine is that the internal combustion engine is more reliable than the electric engine and one more advantage of the internal combustion engine vehicle is it requires less time to fuel up than electric vehicle. In this paper, we are going to discuss about fast charging technique of electric vehicles using a Vienna T-type converter and Partial power processing technique. We are also going to discuss about grid impact of electric vehicles' fast charging stations. In which voltage and current fluctuation in harmonics are going to be discussed. Vienna T-type converter is a grid-facing AC/DC converter. These power converters provide an interface between the grid and a regulated DC bus. The important attributes required for these converters are having high power quality on the AC and DC sides. These converters must have negligible input current harmonics and must have nearly unity power factor and the simulation result has been analyzed by MATLAB Simulink.

How To Cite

"Enhancing Electric Vehicle Grid Integration Efficiency through Vienna Rectifier Converter Technology", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 4, page no.1096 - 1108, April-2024, Available :https://ijsdr.org/papers/IJSDR2404159.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : 1096 - 1108

Other Publication Details

Paper Reg. ID: IJSDR_210946

Published Paper Id: IJSDR2404159

Downloads: 000347438

Research Area: Engineering

Country: Jaipur, Rajasthan, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2404159

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2404159

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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