Litcius/Paper detail

IoT enabled E-Vehicle Charging System with Battery Monitoring and Charge Scheduling

S. Arulmozhi, M. Abiramavalli, M.B.Diviya Bhavaani, S. Loganayagi

202314 citationsDOI

Abstract

The prominence of Electric Vehicles (EVs) is increasing significantly due to their ability to drastically reduce carbon-dioxide and greenhouse gas emissions from road transportation, contributing to the fight against global warming. However, the limited availability of charging stations and the time required for charging have been inhibiting factors for potential buyers to adopt EVs. As a result, there is a need for a smart charging system to reduce the challenges of locating charging station and checking slot availability. The primary objective of the project is to design and implement an EV charger featuring a rectifier circuit with Power Factor Correction (PFC) controller using a flyback converter topology. Additionally, a web application for EV charging station "ChargEVfy" has been developed. This application aims to assist EV drivers in identifying nearby charging stations. Once a charging station is located, users have an option to check available charging slots and even reserve a slot in advance for their vehicle by registering on "ChargEVfy" website. The web application provides an option whereby the users can input their starting point and destination. Subsequently, the webpage displays a roadmap with all accessible charging stations along the journey. To enable these functionalities, the proposed system is equipped with IR sensors, Arduino Nano, ESP8266 Wi-Fi module, Blynk IoT cloud server and web application development tools.

Topics & Concepts

Cascading Style SheetsComputer scienceCharging stationBattery (electricity)Greenhouse gasWirelessCloud computingEmbedded systemElectrical engineeringAutomotive engineeringOperating systemElectric vehicleComputer networkPower (physics)Web pageEngineeringWorld Wide WebBiologyPhysicsEcologyQuantum mechanicsElectric Vehicles and InfrastructureAdvanced Battery Technologies ResearchEnergy Harvesting in Wireless Networks