scholarly journals Optimal Cost Analysis of Battery Swapping Station for EV Using PSO

Author(s):  
Prafull Bhumarkar

Abstract: 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

2013 ◽  
Vol 724-725 ◽  
pp. 1355-1360 ◽  
Author(s):  
Zhe Ci Tang ◽  
Chun Lin Guo ◽  
Peng Xin Hou ◽  
Yu Bo Fan ◽  
Dong Ming Jia

In order to determine the layout of electric car charging stations, a model for optimizing charging stations location is developed after charging-demand districts are divided, the number of electric vehicles and the center of each charging district are ready. This model takes the minimization of electric vehicles charging stations total cost which includes initial fixed investment costs, operating costs and charging costs as the objective function, some related constraints which include service radius, capacity of charging station etc. are considered. Particle swarm optimization based on hybridization is proposed to solve this problem. The example verifies feasibility of this method.


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