IOT in Electric vehicle


FINANCE

Comparative analysis of various techniques of IOT in Electric vehicle

RAKSHITHA RAVI1
PhD Scholar,1982502
Department of Electrical and Electronics
CHRIST (DEEMED TO BE) UNIVERSITY
Bangalore,India
rakshitha.r@res.christuniversity.in
Dr USHA SURENDRA2
Professor
Department of Electrical and Electronics
CHRIST (DEEMED TO BE) UNIVERSITY
Bangalore,India
ushachrist81@gmail.com
SHREYA N3
UG STUDENT,
Department of ECE
RVITM
Bangalore,India
rakshitha.r@res.christuniversity.in
Abstract— Electric Vehicles are increasing day by day across the globe [3]. Electric vehicles, also known as EVs, are steadily gaining in popularity. Research has shown that electric cars are better for the environment. Electrical Vehicles (EVs) appeared as a solution to reduce CO2 emissions. They emit less greenhouse gases and air pollutants over their life than a petrol or diesel car. Energy storage systems, usually batteries, are essential for hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and allelectric vehicles (EVs). Batteries for electric vehicles are characterized by their relatively high power-to-weight ratio, specific energy and energy density; smaller, lighter batteries are desirable because they reduce the weight of the vehicle and therefore improve its performance. Most plug-in hybrids and allelectric vehicles use lithium-ion batteries. In the report, BNEF outlines that electric vehicles (EVs) will hit 10% of global passenger vehicle sales in 2025, with that number rising to 28% in 2030 and 58% in 2040. According to the study, EVs currently make up 3% of global car sales. Through their entire lifetime, electric cars are better for the climate. In the manufacturing process, electric vehicles will produce more global warming emissions than the average gasoline vehicle, because lithium-ion batteries require a lot of materials and energy to build. The Internet of Things (IoT) technology has immense potential for application in improvement and development of Smart Grid. Dynamic electrical energy storage system viz., Electric Vehicles (EVs) are relatively standard due to their excellent electrical properties and flexibility but the possibility of damage to their batteries is there in case of overcharging or deep discharging and their mass penetration profoundly impacts the grid. To circumvent the possibility of damage, EVs’ batteries need a precise state of charge estimation to increase their lifespan and to protect the equipment they power. Based on ease of implementation and less overall complexity, in this paper a comparison between 3 techniques namely Node-Red, MQTT and Arduino method is analyzed with the help of realtime Battery Monitoring System (BMS) using coulomb counting method for SoC estimation. The electric vehicles are going to be the future transport but the main disadvantage of the electric vehicles are lack of charging stations and the long charging time. When an electric vehicles battery is charged using AC Supply by using AC to DC Converter there are many losses due to conversion and in form of heat and it reduces the charging station efficiency and increases the charging time.To overcome these problems, The charging station should have a separate battery pack from which the electric vehicles are to be charged by using DC to DC rapid charging technology, Thus the efficiency of the charging station is increased with reduced charging time. Every electric vehicles power consumption details and the cost for charging of each vehicle gets updates to the charging stations website periodically. The efficiency of the charging station and charging speed can be increased by installing charging ports or wireless charging pads in the parking of hotel, parks, theatre, malls and in traffic signals.

Arduino
I. Introduction:
Electric vehicle companies are enabling modern technologies like Artificial Intelligence and IoT to improve efficiency. Nowadays, vehicles are essential in the day to day life and for industrial use as well. Sufficient effort is being done to withdraw the combustion engines by electric

iot-in-electric-vehicles
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