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Data driven health and life prognosis management of supercapacitor and lithium-ion battery storage systems: Developments, implementation aspects, limitations, and future directions

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dc.citedby7
dc.contributor.authorHossain Lipu M.S.en_US
dc.contributor.authorRahman M.S.A.en_US
dc.contributor.authorMansor M.en_US
dc.contributor.authorRahman T.en_US
dc.contributor.authorAnsari S.en_US
dc.contributor.authorFuad A.M.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorid58562396100en_US
dc.contributor.authorid58811982000en_US
dc.contributor.authorid6701749037en_US
dc.contributor.authorid57912369500en_US
dc.contributor.authorid57218906707en_US
dc.contributor.authorid58010487300en_US
dc.contributor.authorid7103014445en_US
dc.date.accessioned2025-03-03T07:41:52Z
dc.date.available2025-03-03T07:41:52Z
dc.date.issued2024
dc.description.abstractHealth and life prognosis research contributes to the development of next-generation energy storage solutions with enhanced performance, longer lifespans, and improved sustainability. Nonetheless, energy storage systems experience a range of deterioration processes over time, such as chemical reactions, mechanical strain, and degradation of electrode materials, posing difficulties in precise modeling and prediction. Additionally, the performance of energy storage systems can be influenced by factors such as temperature, operating conditions, and usage patterns, further complicating prognosis accuracy. In this paper, the developments made in the field of data-driven health and life prognosis management with regard to state of health (SOH) and remaining useful life (RUL) of supercapacitor and lithium-ion battery storage systems has been reviewed. Accordingly, this paper investigates the advancements in the SOH and RUL estimation of supercapacitors and lithium-ion battery storage systems through data-driven approaches involves analyzing significant findings, contributions, benefits, drawbacks, and research gaps. Moreover, the various implementation aspects of these approaches, including data processing, feature extraction, computation capacity, experiments, and validation are discussed. In addition, the paper outlines the limitations and challenges of data-driven approaches for assessing the SOH and RUL of supercapacitor and lithium-ion battery storage systems, as well as proposing future research paths and opportunities aimed at improving this prognosis using data-driven methods. Overall, data-driven approaches empower precise SOH estimation and RUL prognosis, significantly contributing to reliability, efficiency, and cost-effectiveness in for diverse energy storage needs. ? 2024 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo113172
dc.identifier.doi10.1016/j.est.2024.113172
dc.identifier.scopus2-s2.0-85200540481
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85200540481&doi=10.1016%2fj.est.2024.113172&partnerID=40&md5=2b2121d02b4b93c610ad94bd792dc765
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36305
dc.identifier.volume98
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleJournal of Energy Storage
dc.subjectBattery management systems
dc.subjectCost effectiveness
dc.subjectData handling
dc.subjectDeterioration
dc.subjectDigital storage
dc.subjectEnergy storage
dc.subjectInformation management
dc.subjectIons
dc.subjectStorage management
dc.subjectSupercapacitor
dc.subjectBattery storage system
dc.subjectData driven
dc.subjectData-driven approach
dc.subjectEnergy
dc.subjectHealth and life prognose management
dc.subjectImplementation aspects
dc.subjectPerformance
dc.subjectRemaining useful lives
dc.subjectState of health
dc.subjectStorage systems
dc.subjectLithium-ion batteries
dc.titleData driven health and life prognosis management of supercapacitor and lithium-ion battery storage systems: Developments, implementation aspects, limitations, and future directionsen_US
dc.typeReviewen_US
dspace.entity.typePublication
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