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IOT BASED SOLAR CHARGING STATION FOR E-VEHICLE

Authors: N. Mayavel*, M. Dinesh**, E. Gowtham Raj**, K. Sameera** & J. Prakash**;

IOT BASED SOLAR CHARGING STATION FOR E-VEHICLE

Abstract

In recent years, the increase in the number of electric vehicles (EVs) has led to the need for more e-vehicle charging stations. In this project, we propose the design and implementation of an e-vehicle charging station with the integration of an Arduino Uno controller, a solar panel, a grid connection, and an Internet of Things (IOT) system for monitoring. The controller manages the charging process by detecting the available power source (solar or grid) and triggering the relay driver to flow the power through the battery storage unit to the EV battery charger. The battery storage unit is also connected to the controller via a separate SCU unit. The LCD display shows all the relevant data such as the charging status, battery level, and power source information. The IoT system allows us to monitor the entire system remotely and take necessary actions when required. Overall, this charging station offers an efficient and sustainable solution for EV charging and can be a valuable addition to any EV-friendly infrastructure.

{"references": ["1.\tH. Ananda Kumar and K. Uma Maheswari, \"Supervise machine learning techniques in cognitive radio networks during cooperative spectrum hand overs, March 2019. 2.\tGarc\u00eda-Olivares, Transportation in a 100% Renewable Energy System, 2018. 3.\tRoshini and Ananda Kumar, \"Hierarchical cost-effective leach for heterogeneous wireless sensor networks,\" International Conference on Advanced Computing and Communication Systems, Jan 2020."]}

Keywords

Solar Panel, Arduino UNO, GSM Modem, Servomotor, Rechargeable Battery, LDR, Rain Sensor, LCD.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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