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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Constant Current Adaptive Neuro Fuzzy Inference System Controller for Grid Connected Electric Vehicle Charging
Authors Name: HARI OM SINGH , S. K Tripathi
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IJRTI_182852
Published Paper Id: IJRTI2207035
Published In: Volume 7 Issue 7, July-2022
DOI:
Abstract: The large number of automobile in use around the world has caused and continues to cause serious problem of environment and human life. Air pollution, global warming and rapid depletion of the earth’s petroleum resources are now serious problem due to climate change and high dependence on fossil fuels in the transport sector most of the countries have created new and more demanding laws to regulate and control issues related with CO, Carbon dioxide and NOx emission. The electric vehicle has important role to fulfil this demand. Electrification of the transport sector can also bring benefits in term of increased energy efficiency and reduced local pollution. Electrical Vehicle (EV) offer an opportunity to replace fossil fuels in the transport sector. But several issues still pose barrier to the widespread adoption of electrical vehicle. The fast charging will be key in the future .As a result, there is a clear need for EV charging times to be shortened. Electric vehicle (EV) charging at a constant current with ANFIS can assist in resolving this issue. So DC-DC converter plays a crucial role The prospect of grid-connected constant current charging of Electric Vehicles using a buck DC-DC converter and an Adaptive Neuro Fuzzy inference System (ANFIS) controller is discussed in this research . ANFIS is simple to set up and does not necessitate extensive mathematical modelling. The entire model of the system under consideration was developed in MATLAB/Simulink. The simulation results suggest that the proposed strategy is viable and capable. Thus, the system has been simulated and tested on MATLAB/Simulink.
Keywords: Adaptive Neuro Fuzzy inference System (ANFIS), DC-DC converter, Electric vehicle(EV).
Cite Article: "Constant Current Adaptive Neuro Fuzzy Inference System Controller for Grid Connected Electric Vehicle Charging", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.222 - 229, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207035.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2207035
Registration ID:182852
Published In: Volume 7 Issue 7, July-2022
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Page No: 222 - 229
Country: fatehpur, u.p, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207035
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207035
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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