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

Charging (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...

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Main Authors: Hoque M.M., Hannan M.A., Mohamed A.
Other Authors: 56583590200
Format: Article
Published: Institution of Engineering and Technology 2023
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spelling my.uniten.dspace-230312023-05-29T14:37:30Z Optimal algorithms for the charge equalisation controller of series connected lithium-ion battery cells in electric vehicle applications Hoque M.M. Hannan M.A. Mohamed A. 56583590200 7103014445 57195440511 Charging (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 batteries A 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. Final 2023-05-29T06:37:30Z 2023-05-29T06:37:30Z 2017 Article 10.1049/iet-est.2016.0077 2-s2.0-85032171330 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032171330&doi=10.1049%2fiet-est.2016.0077&partnerID=40&md5=778c82351f5f1c4954e19a32e88a51a7 https://irepository.uniten.edu.my/handle/123456789/23031 7 4 267 277 Institution of Engineering and Technology 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; 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 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.
Optimal algorithms for the charge equalisation controller of series connected lithium-ion battery cells in electric vehicle applications
author_sort Hoque M.M.
title Optimal algorithms for the charge equalisation controller of series connected lithium-ion battery cells in electric vehicle applications
title_short Optimal algorithms for the charge equalisation controller of series connected lithium-ion battery cells in electric vehicle applications
title_full Optimal algorithms for the charge equalisation controller of series connected lithium-ion battery cells in electric vehicle applications
title_fullStr Optimal algorithms for the charge equalisation controller of series connected lithium-ion battery cells in electric vehicle applications
title_full_unstemmed Optimal algorithms for the charge equalisation controller of series connected lithium-ion battery cells in electric vehicle applications
title_sort optimal algorithms for the charge equalisation controller of series connected lithium-ion battery cells in electric vehicle applications
publisher Institution of Engineering and Technology
publishDate 2023
_version_ 1806427426285158400
score 13.214268

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