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Optimal algorithms for the charge equalisation controller of series connected lithium-ion battery cells in electric vehicle applications

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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.accessioned2023-05-29T06:37:30Z
dc.date.available2023-05-29T06:37:30Z
dc.date.issued2017
dc.descriptionCharging (batteries); Controllers; Electric batteries; Electric machine control; Electric vehicles; Equalizers; Optimization; Particle swarm optimization (PSO); Secondary batteries; Voltage control; Control techniques; Discontinuous current mode; Flyback converters; Optimal algorithm; Particle swarm optimisation; PI controller parameters; Switching signals; Vehicle applications; Lithium-ion batteriesen_US
dc.description.abstractA charge equalisation controller (CEC) was developed for continuously monitoring individual battery cells and equalising the charge or voltage levels of all cells in a series pack. A charge equalisation control algorithm was developed to equalise undercharged, overcharged, and unprotected cells through the use of a bidirectional fly-back converter. The equalisation involves charging and discharging by employing constant current�constant voltage and discontinuous current mode proportional�integral (PI) control techniques. Particle swarm optimisation is applied to optimising the PI controller parameters that generate the regulated pulse width modulation switching signal for the converter. A CEC model was applied to 90 lithium-ion battery cells (nominally 15.5 Ah and 3.7 V each) connected in series. The results showed that the developed CEC model performed well at equalising both undercharged and overcharged cells with ?92% efficiency and equalised every cell within the safe operation range of 3.73�3.87 V. The developed system realises excellent equalisation speed, a simple design and efficiency with low power loss. Thus, the CEC model has great potential for implementation in real-world electric vehicle energy storage systems. � The Institution of Engineering and Technology 2017.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1049/iet-est.2016.0077
dc.identifier.epage277
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85032171330
dc.identifier.spage267
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85032171330&doi=10.1049%2fiet-est.2016.0077&partnerID=40&md5=778c82351f5f1c4954e19a32e88a51a7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23031
dc.identifier.volume7
dc.publisherInstitution of Engineering and Technologyen_US
dc.sourceScopus
dc.sourcetitleIET Electrical Systems in Transportation
dc.titleOptimal algorithms for the charge equalisation controller of series connected lithium-ion battery cells in electric vehicle applicationsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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