Publication:
Survey on Battery Technologies and Modeling Methods for Electric Vehicles

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dc.citedby7
dc.contributor.authorIqbal M.en_US
dc.contributor.authorBenmouna A.en_US
dc.contributor.authorBecherif M.en_US
dc.contributor.authorMekhilef S.en_US
dc.contributor.authorid57209544879en_US
dc.contributor.authorid57191838421en_US
dc.contributor.authorid22233339000en_US
dc.contributor.authorid57928298500en_US
dc.date.accessioned2024-10-14T03:18:52Z
dc.date.available2024-10-14T03:18:52Z
dc.date.issued2023
dc.description.abstractThe systematic transition of conventional automobiles to their electrified counterparts is an imperative step toward successful decarbonization. Crucial advances in battery storage systems (BSS) and related technologies will enable this transition to proceed smoothly. This requires equivalent developments in several interconnected areas, such as complete battery cycles and battery management systems (BMS). In this context, this article critically examines state-of-the-art battery technologies from the perspective of automakers, provides insightful discussions, and poses open questions with possible answers. The generations of BSS (traditional, current, and futuristic) are first reviewed and analyzed via two distinct qualitative factors (DQFs): key design markers and performance indicators. Based on the introduced DQFs, major development trends and probable evolutions are forecasted. Thereafter, recent modeling and state estimation methods are comprehensively reviewed in relation to high-performance BMS. Accordingly, promising modeling methods are identified as futuristic solutions, leading to an accurate and timely decision for reliable and safer user experience. This article is concluded by presenting a techno-economic assessment of what to expect, as well as highlighting future challenges and opportunities for industry, academia, and policy makers. � 2023 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo185
dc.identifier.doi10.3390/batteries9030185
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85151376792
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85151376792&doi=10.3390%2fbatteries9030185&partnerID=40&md5=6b285d11dc6b221d560c4518804acb00
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34293
dc.identifier.volume9
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleBatteries
dc.subjectbattery management
dc.subjectbattery technologies
dc.subjectelectric vehicles
dc.subjectkey trends
dc.subjectmodeling methods
dc.subjectCharging (batteries)
dc.subjectElectric vehicles
dc.subjectSecondary batteries
dc.subjectBattery Management
dc.subjectBattery modeling
dc.subjectBattery storage system
dc.subjectBattery technology
dc.subjectCycle managements
dc.subjectDecarbonisation
dc.subjectKey trends
dc.subjectModel method
dc.subjectQualitative factors
dc.subjectState of the art
dc.subjectBattery management systems
dc.titleSurvey on Battery Technologies and Modeling Methods for Electric Vehiclesen_US
dc.typeReviewen_US
dspace.entity.typePublication
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