Open AccessOptimal Cost Analysis of Battery Swapping Station for EV Using PSO
Author(s) -
Prafull Bhumarkar
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.39162
Subject(s) - particle swarm optimization , battery (electricity) , charging station , computer science , automotive engineering , duration (music) , power (physics) , electrical engineering , electric vehicle , engineering , algorithm , art , physics , literature , quantum mechanics
Electric vehicles are the demand of the current scenario to fight with the increasing levels of pollution. Electric vehicles operate by getting power from the battery which needs to be charged after a particular duration. Battery swapping stations are used for providing the optimal power for charging these batteries. An algorithm known as Particle swarm optimization can be used to find the optimal cost of these battery swapping stations. The project presents an expository study about ParticleSwarm Optimization and thus various factors related to it. Keywords: Battery Swapping Station, Battery Charging Station, Load flow Analysis, Particle Swarm Optimization