학술논문

Intelligent Charging for Electric Vehicle by use of Ad Hoc Networks
Document Type
Conference
Source
2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT) Device Intelligence, Computing and Communication Technologies (DICCT), 2024 2nd International Conference on. :392-396 Mar, 2024
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Robotics and Control Systems
Signal Processing and Analysis
Schedules
Job shop scheduling
Processor scheduling
Vehicular ad hoc networks
Transportation
Carbon dioxide
Charging stations
Electric Vehicles (EVs)
Charging Stations (CS)
Plug-In Electric Vehicles (PEV)
Vehicle Ad Hoc Networks (VANET)
Language
Abstract
The industrialised world is putting more money into electrification projects and charging infrastructure as a means to achieve the worldwide net-zero emission objective. The release of carbon dioxide (CO2) into the atmosphere is mostly attributable to the transportation sector. Transport fueled by fossil fuels is the world's second largest source of carbon dioxide emissions, according to a research by the International Energy Agency (IEA). Clearly, EVs provide a potential way to cut down on carbon dioxide emissions. The proposed smart transition technique locates optimal EV charging stations to verify minimum. The power system has been significantly impacted by the rise in electrical usage. Slow adoption of Plug-In Electric Vehicles (PEVs) has been seen in a number of nations owing to issues such a lack of charging infrastructure and lengthy wait periods. This thesis provides a smart charging scheduling method for electric cars using Vehicle Ad Hoc Networks (VANET) to address the need for an intelligent scheduling system.