Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm

M. M. Hoque, M. A. Hannan, A. Mohamed

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

© 2016 Author(s). This study presents a charging and discharging controller of a lithium-ion battery for charge equalization control of a battery storage system using the particle swarm optimization (PSO) algorithm. The charge equalization controller is designed using a bidirectional flyback DC-DC converter for exchanging the amount of energy from a battery series stack to an overdischarged cell to be charged and vice versa. The constant current-constant voltage charge proportional-integral (PI) control and discontinuous current mode control are applied to charge and discharge the lithium-ion battery on a flyback converter operation. This proposed system utilizes the PSO algorithm to optimize the values of the PI controller parameters. Optimization results produce the ideal values of the PI controller parameters with minimum error indices, thereby regulating the pulse-width modulation to the MOSFET switching drive of the flyback converter and upgrading the battery charge performance for charge equalization. The PSO algorithmic approach-based developed system is proven to be robust and competent for high-tech storage systems toward the advancement of sustainable electric vehicle technologies and renewable source of applications.
Original languageEnglish
JournalJournal of Renewable and Sustainable Energy
DOIs
Publication statusPublished - 01 Nov 2016

Fingerprint

Particle swarm optimization (PSO)
Controllers
DC-DC converters
Electric vehicles
Pulse width modulation
Lithium-ion batteries
Electric potential

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Energy(all)
  • Energy Engineering and Power Technology
  • Materials Science(all)
  • Computer Science(all)
  • Signal Processing

Cite this

@article{716df88d65cf4d05b5146f0a645182a7,
title = "Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm",
abstract = "{\circledC} 2016 Author(s). This study presents a charging and discharging controller of a lithium-ion battery for charge equalization control of a battery storage system using the particle swarm optimization (PSO) algorithm. The charge equalization controller is designed using a bidirectional flyback DC-DC converter for exchanging the amount of energy from a battery series stack to an overdischarged cell to be charged and vice versa. The constant current-constant voltage charge proportional-integral (PI) control and discontinuous current mode control are applied to charge and discharge the lithium-ion battery on a flyback converter operation. This proposed system utilizes the PSO algorithm to optimize the values of the PI controller parameters. Optimization results produce the ideal values of the PI controller parameters with minimum error indices, thereby regulating the pulse-width modulation to the MOSFET switching drive of the flyback converter and upgrading the battery charge performance for charge equalization. The PSO algorithmic approach-based developed system is proven to be robust and competent for high-tech storage systems toward the advancement of sustainable electric vehicle technologies and renewable source of applications.",
author = "Hoque, {M. M.} and Hannan, {M. A.} and A. Mohamed",
year = "2016",
month = "11",
day = "1",
doi = "10.1063/1.4967972",
language = "English",
journal = "Journal of Renewable and Sustainable Energy",
issn = "1941-7012",
publisher = "American Institute of Physics Publising LLC",

}

TY - JOUR

T1 - Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm

AU - Hoque, M. M.

AU - Hannan, M. A.

AU - Mohamed, A.

PY - 2016/11/1

Y1 - 2016/11/1

N2 - © 2016 Author(s). This study presents a charging and discharging controller of a lithium-ion battery for charge equalization control of a battery storage system using the particle swarm optimization (PSO) algorithm. The charge equalization controller is designed using a bidirectional flyback DC-DC converter for exchanging the amount of energy from a battery series stack to an overdischarged cell to be charged and vice versa. The constant current-constant voltage charge proportional-integral (PI) control and discontinuous current mode control are applied to charge and discharge the lithium-ion battery on a flyback converter operation. This proposed system utilizes the PSO algorithm to optimize the values of the PI controller parameters. Optimization results produce the ideal values of the PI controller parameters with minimum error indices, thereby regulating the pulse-width modulation to the MOSFET switching drive of the flyback converter and upgrading the battery charge performance for charge equalization. The PSO algorithmic approach-based developed system is proven to be robust and competent for high-tech storage systems toward the advancement of sustainable electric vehicle technologies and renewable source of applications.

AB - © 2016 Author(s). This study presents a charging and discharging controller of a lithium-ion battery for charge equalization control of a battery storage system using the particle swarm optimization (PSO) algorithm. The charge equalization controller is designed using a bidirectional flyback DC-DC converter for exchanging the amount of energy from a battery series stack to an overdischarged cell to be charged and vice versa. The constant current-constant voltage charge proportional-integral (PI) control and discontinuous current mode control are applied to charge and discharge the lithium-ion battery on a flyback converter operation. This proposed system utilizes the PSO algorithm to optimize the values of the PI controller parameters. Optimization results produce the ideal values of the PI controller parameters with minimum error indices, thereby regulating the pulse-width modulation to the MOSFET switching drive of the flyback converter and upgrading the battery charge performance for charge equalization. The PSO algorithmic approach-based developed system is proven to be robust and competent for high-tech storage systems toward the advancement of sustainable electric vehicle technologies and renewable source of applications.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84996497393&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84996497393&origin=inward

U2 - 10.1063/1.4967972

DO - 10.1063/1.4967972

M3 - Article

JO - Journal of Renewable and Sustainable Energy

JF - Journal of Renewable and Sustainable Energy

SN - 1941-7012

ER -