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

Charging (batteries); Controllers; DC-DC converters; Electric inverters; Equalizers; Ions; Particle swarm optimization (PSO); Static random access storage; Two term control systems; Voltage control; Algorithmic approach; Battery storage system; Charge and discharge; Charge equalization; Discontinuou...

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Main Authors: Hoque M.M., Hannan M.A., Mohamed A.
Other Authors: 56583590200
Format: Article
Published: American Institute of Physics Inc. 2023
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id my.uniten.dspace-22622
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spelling my.uniten.dspace-226222023-05-29T14:11:22Z Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm Hoque M.M. Hannan M.A. Mohamed A. 56583590200 7103014445 57195440511 Charging (batteries); Controllers; DC-DC converters; Electric inverters; Equalizers; Ions; Particle swarm optimization (PSO); Static random access storage; Two term control systems; Voltage control; Algorithmic approach; Battery storage system; Charge and discharge; Charge equalization; Discontinuous current mode; Particle swarm optimization algorithm; PI controller parameters; Proportional-integral control; Lithium-ion batteries 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. � 2016 Author(s). Final 2023-05-29T06:11:22Z 2023-05-29T06:11:22Z 2016 Article 10.1063/1.4967972 2-s2.0-84996497393 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996497393&doi=10.1063%2f1.4967972&partnerID=40&md5=762d42c0726446b16495a4a6b526a22b https://irepository.uniten.edu.my/handle/123456789/22622 8 6 65701 American Institute of Physics Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Charging (batteries); Controllers; DC-DC converters; Electric inverters; Equalizers; Ions; Particle swarm optimization (PSO); Static random access storage; Two term control systems; Voltage control; Algorithmic approach; Battery storage system; Charge and discharge; Charge equalization; Discontinuous current mode; Particle swarm optimization algorithm; PI controller parameters; Proportional-integral control; Lithium-ion batteries
author2 56583590200
author_facet 56583590200
Hoque M.M.
Hannan M.A.
Mohamed A.
format Article
author Hoque M.M.
Hannan M.A.
Mohamed A.
spellingShingle Hoque M.M.
Hannan M.A.
Mohamed A.
Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm
author_sort Hoque M.M.
title Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm
title_short Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm
title_full Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm
title_fullStr Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm
title_full_unstemmed Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm
title_sort charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm
publisher American Institute of Physics Inc.
publishDate 2023
_version_ 1806428167936671744
score 13.222552

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