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

Simple item page
dc.citedby26
dc.contributor.authorHoque M.M.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorMohamed A.en_US
dc.contributor.authorid56583590200en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid57195440511en_US
dc.date.accessioned2023-05-29T06:11:22Z
dc.date.available2023-05-29T06:11:22Z
dc.date.issued2016
dc.descriptionCharging (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 batteriesen_US
dc.description.abstractThis 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).en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo65701
dc.identifier.doi10.1063/1.4967972
dc.identifier.issue6
dc.identifier.scopus2-s2.0-84996497393
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84996497393&doi=10.1063%2f1.4967972&partnerID=40&md5=762d42c0726446b16495a4a6b526a22b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22622
dc.identifier.volume8
dc.publisherAmerican Institute of Physics Inc.en_US
dc.sourceScopus
dc.sourcetitleJournal of Renewable and Sustainable Energy
dc.titleCharging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS