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Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions

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dc.citedby7
dc.contributor.authorHossain Lipu M.S.en_US
dc.contributor.authorAbd Rahman M.S.en_US
dc.contributor.authorMansor M.en_US
dc.contributor.authorAnsari S.en_US
dc.contributor.authorMeraj S.T.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorid58562396100en_US
dc.contributor.authorid57949645100en_US
dc.contributor.authorid6701749037en_US
dc.contributor.authorid57218906707en_US
dc.contributor.authorid57202610180en_US
dc.contributor.authorid7103014445en_US
dc.date.accessioned2025-03-03T07:43:09Z
dc.date.available2025-03-03T07:43:09Z
dc.date.issued2024
dc.description.abstractBattery management system plays a crucial role in enhancing the performance and effectiveness of electric vehicles. The accurate state estimation in terms of state of charge, state of health, state of energy, state of power, and remaining useful life of battery management system is essential to manage and optimize the performance of electric vehicles. Recently, hybrid and combined states estimations of lithium-ion battery management system have received huge attention due to their excellent accuracy and resilience in a variety of environmental settings. Nevertheless, the deployment of hybrid and co-estimation of various states for lithium-ion battery management system in EVs are still limited. Hence, the novel innovation of this review is to provide an in-depth analysis of hybrid approaches with an emphasis on state-of-the-art approaches, executions, accuracy, advantages, drawbacks, and contributions. Moreover, this review explores the several co-estimation methods concerning framework, execution aspects, issues, and performance assessment. Furthermore, the study investigates various key challenges and limitations of hybrid and combined states estimation of battery management system. Finally, prospects and research opportunities are offered to support electric vehicle engineers and the automotive industry in developing a reliable and accurate state of charge, state of health, state of energy and state of power, the remaining useful life estimation technique using a hybrid and co-estimation approach that will create a pathway to reduce global carbon emissions towards meeting sustainable development goals. ? 2024en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo112107
dc.identifier.doi10.1016/j.est.2024.112107
dc.identifier.scopus2-s2.0-85193623838
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85193623838&doi=10.1016%2fj.est.2024.112107&partnerID=40&md5=4ab5bef4880563da805eb870f53a8964
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36573
dc.identifier.volume92
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleJournal of Energy Storage
dc.subjectAutomotive industry
dc.subjectCharging (batteries)
dc.subjectElectric vehicles
dc.subjectInformation management
dc.subjectIons
dc.subjectLithium-ion batteries
dc.subjectSustainable development
dc.subjectVehicle performance
dc.subjectCo-estimation
dc.subjectCombined states estimation
dc.subjectData driven
dc.subjectEnergy
dc.subjectEstimation approaches
dc.subjectHybrid approach
dc.subjectHybrid states estimation
dc.subjectModel-based OPC
dc.subjectPerformance
dc.subjectStates of charges
dc.subjectBattery management systems
dc.titleHybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directionsen_US
dc.typeReviewen_US
dspace.entity.typePublication
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