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Artificial Intelligence and Digital Twin Technologies for Intelligent Lithium-Ion Battery Management Systems: A Comprehensive Review of State Estimation, Lifecycle Optimization, and Cloud-Edge Integration.

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Title: Artificial Intelligence and Digital Twin Technologies for Intelligent Lithium-Ion Battery Management Systems: A Comprehensive Review of State Estimation, Lifecycle Optimization, and Cloud-Edge Integration.
Authors: Madani, Seyed Saeed1, Shabeer, Yasmin1,2, Fowler, Michael1,3, Panchal, Satyam1,4, Chaoui, Hicham2,5, hicham.chaoui@carleton.ca, Mekhilef, Saad3,6, Dou, Shi Xue1,4,5, See, Khay2,6
Source: Batteries; Aug2025, Vol. 11 Issue 8, p298, 51p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187611417
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Batteries%22">Batteries</searchLink>; Aug2025, Vol. 11 Issue 8, p298, 51p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187611417
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              Text: Aug2025
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