Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
As we know about the mass reception of EVs not too far off, the electric vehicle charging will become fundamental for both the charging point network administrators, and the public power matrix. EVs are gaining popularity all over the world. Infrastructure for charging EVs will also become a fundamental requirement as the number of EVs grows. By connecting to the grid, this work will produce a smart application that will inform users of the various grid tariff rates. The tax rates will incorporate both, the power admission rate and further more the active power rate. The battery SOC will also be displayed when the user enters the grid. The primary objective is to use rule-based algorithms to optimize low-carbon technologies through a single connected platform, thereby contributing to the decarbonization of energy production and consumption. This data is all uploaded to the IOT page. In conclusion, A user can decide the power management by analyzing the status of the battery also he/she can decide, to provide the excess amount of charge to other applications .A load is connected and simultaneously power consumption is measured by current transformer and displayed on LCD Display uploaded in a webpage over IOT.
Keywords:
EV Station, monitoring, metering, IOT, Embedded, Microcontroller, Arduino uno, wifi-module
Cite Article:
"Electrical Vehicle Charging Station Connected To Grid Over IOT", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.910 - 918, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305145.pdf
Downloads:
000205317
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