Publication:
Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook

Simple item page
dc.citedby119
dc.contributor.authorHossain Lipu M.S.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorKarim T.F.en_US
dc.contributor.authorHussain A.en_US
dc.contributor.authorSaad M.H.M.en_US
dc.contributor.authorAyob A.en_US
dc.contributor.authorMiah M.S.en_US
dc.contributor.authorIndra Mahlia T.M.en_US
dc.contributor.authorid36518949700en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid36518950900en_US
dc.contributor.authorid57208481391en_US
dc.contributor.authorid7202075525en_US
dc.contributor.authorid26666566900en_US
dc.contributor.authorid57226266149en_US
dc.contributor.authorid56997615100en_US
dc.date.accessioned2023-05-29T09:08:20Z
dc.date.available2023-05-29T09:08:20Z
dc.date.issued2021
dc.descriptionAdvanced vehicle control systems; Automotive batteries; Charging (batteries); Controllers; Electric automobiles; Fire hazards; Global warming; Intelligent control; Battery performance; Battery storage system; Computation complexity; Control strategies; Intelligent Algorithms; Internal and external factors; Precise monitoring; Vehicle applications; Battery management systemsen_US
dc.description.abstractGlobally, the research on battery technology in electric vehicle applications is advancing tremendously to address the carbon emissions and global warming issues. The effectiveness of electric vehicles depends on the accurate assessment of key parameters as well as proper functionality and diagnosis of the battery storage system. However, poor monitoring and safety strategies of the battery storage system can lead to critical issues such as battery overcharging, over-discharging, overheating, cell unbalancing, thermal runaway, and fire hazards. To address these concerns, an effective battery management system plays a crucial role in enhancing battery performance including precise monitoring, charging-discharging control, heat management, battery safety, and protection. The goal of this paper is to deliver a comprehensive review of different intelligent approaches and control schemes of the battery management system in electric vehicle applications. In line with that, the review evaluates the intelligent algorithms in battery state estimation concerning their features, structure, configuration, accuracy, advantages, and disadvantages. Moreover, the review explores the various controllers in battery heating, cooling, equalization, and protection highlighting categories, characteristics, targets, achievements, benefits, and shortcomings. The key issues and challenges in terms of computation complexity, execution problems along with various internal and external factors are identified. Finally, future opportunities and directions are delivered to design an efficient intelligent algorithm and controller toward the development of an advanced battery management system for future sustainable electric vehicle applications. � 2021 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo126044
dc.identifier.doi10.1016/j.jclepro.2021.126044
dc.identifier.scopus2-s2.0-85100001625
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85100001625&doi=10.1016%2fj.jclepro.2021.126044&partnerID=40&md5=e108c085aae734af56447e781cccc4fb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26256
dc.identifier.volume292
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleJournal of Cleaner Production
dc.titleIntelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlooken_US
dc.typeReviewen_US
dspace.entity.typePublication
Files
Collections
SCOPUS