h1

h2

h3

h4

h5
h6


001     1005561
005     20250407085437.0
024 7 _ |2 ISSN
|a 2095-4956
024 7 _ |2 ISSN
|a 2096-885X
024 7 _ |2 doi
|a 10.1016/j.jechem.2024.12.068
024 7 _ |2 datacite_doi
|a 10.18154/RWTH-2025-01846
024 7 _ |2 WOS
|a WOS:001438792200001
024 7 _ |2 SCOPUS
|a SCOPUS:2-s2.0-85219117735
037 _ _ |a RWTH-2025-01846
041 _ _ |a English
082 _ _ |a 540
100 1 _ |0 P:(DE-82)963836
|a Cai, Xue
|b 0
|u rwth
245 _ _ |a Sensorless battery expansion estimation using electromechanical coupled models and machine learning
|h online, print
260 _ _ |a Amsterdam [u.a.]
|b Elsevier
|c 2025
336 7 _ |0 0
|2 EndNote
|a Journal Article
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
|b journal
|m journal
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 DRIVER
|a article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
536 _ _ |0 G:(DE-82)021000-OAPKF
|a OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF)
|c 021000-OAPKF
|x 0
536 _ _ |0 G:(BMBF)03XP0585
|a BMBF 03XP0585 - SPEED - Schnelle Charakterisierung der Leistungsfähigkeit von Lithium-Ionen-Batterien aus der Produktionslinie mit maschinellem Lernen (03XP0585)
|c 03XP0585
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: publications.rwth-aachen.de
591 _ _ |a Germany
591 _ _ |a Peoples R China
700 1 _ |a Zhang, Caiping
|b 1
|e Corresponding author
700 1 _ |0 P:(DE-82)IDM05047
|a Chen, Jue
|b 2
|u rwth
700 1 _ |a Chen, Zeping
|b 3
700 1 _ |a Zhang, Linjing
|b 4
700 1 _ |0 P:(DE-82)IDM01459
|a Sauer, Dirk Uwe
|b 5
|u rwth
700 1 _ |0 P:(DE-82)IDM03607
|a Li, Weihan
|b 6
|e Corresponding author
|u rwth
773 _ _ |0 PERI:(DE-600)2714311-9
|a 10.1016/j.jechem.2024.12.068
|p 142-157
|t Journal of Energy Chemistry
|v 105
|x 2096-885X
|y 2025
856 4 _ |u https://publications.rwth-aachen.de/record/1005561/files/1006130.pdf
|y OpenAccess
876 7 _ |c 100
|d 2025-02-27
|e Other
|j DEAL
|v 7.00
|x 021000-618310
|z Servicepauschale
876 7 _ |c 2500
|d 2025-02-27
|e Hybrid-OA
|j DEAL
|v 175.00
|x 021000-618310
909 C O |o oai:publications.rwth-aachen.de:1005561
|p openaire
|p open_access
|p OpenAPC_DEAL
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)963836
|a RWTH Aachen
|b 0
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM05047
|a RWTH Aachen
|b 2
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM01459
|a RWTH Aachen
|b 5
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM03607
|a RWTH Aachen
|b 6
|k RWTH
914 1 _ |y 2025
915 1 _ |0 StatID:(DE-HGF)0031
|2 StatID
|a Peer reviewed article
|x 0
915 _ _ |0 StatID:(DE-HGF)0150
|2 StatID
|a DBCoverage
|b Web of Science Core Collection
|d 2024-12-27
915 _ _ |0 StatID:(DE-HGF)0300
|2 StatID
|a DBCoverage
|b Medline
|d 2024-12-27
915 _ _ |0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
|a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
915 _ _ |0 StatID:(DE-HGF)0100
|2 StatID
|a JCR
|b J ENERGY CHEM : 2022
|d 2024-12-27
915 _ _ |0 StatID:(DE-HGF)9910
|2 StatID
|a IF >= 10
|b J ENERGY CHEM : 2022
|d 2024-12-27
915 _ _ |0 StatID:(DE-HGF)0200
|2 StatID
|a DBCoverage
|b SCOPUS
|d 2024-12-27
915 _ _ |0 StatID:(DE-HGF)0113
|2 StatID
|a WoS
|b Science Citation Index Expanded
|d 2024-12-27
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
915 _ _ |0 StatID:(DE-HGF)0160
|2 StatID
|a DBCoverage
|b Essential Science Indicators
|d 2024-12-27
915 _ _ |0 StatID:(DE-HGF)0199
|2 StatID
|a DBCoverage
|b Clarivate Analytics Master Journal List
|d 2024-12-27
915 p c |0 PC:(DE-HGF)0000
|2 APC
|a APC keys set
915 p c |0 PC:(DE-HGF)0001
|2 APC
|a Local Funding
915 p c |0 PC:(DE-HGF)0002
|2 APC
|a DFG OA Publikationskosten
915 p c |0 PC:(DE-HGF)0125
|2 APC
|a DEAL: Elsevier 09/01/2023
920 1 _ |0 I:(DE-82)618310_20140620
|k 618310
|l Lehrstuhl für Elektrochemische Energiewandlung und Speichersystemtechnik
|x 0
920 1 _ |0 I:(DE-82)619830_20240726
|k 619830
|l Juniorprofessor für Artificial Intelligence and Digitalization for Batteries
|x 1
920 1 _ |0 I:(DE-82)080070_20210623
|k 080070
|l Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems
|x 2
920 1 _ |0 I:(DE-82)080011_20140620
|k 080011
|l JARA-ENERGY
|x 3
980 1 _ |a FullTexts
980 _ _ |a APC
980 _ _ |a I:(DE-82)080011_20140620
980 _ _ |a I:(DE-82)080070_20210623
980 _ _ |a I:(DE-82)618310_20140620
980 _ _ |a I:(DE-82)619830_20240726
980 _ _ |a UNRESTRICTED
980 _ _ |a VDB
980 _ _ |a journal


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21