Article (Scientific journals)
AI-enabled thermal monitoring of commercial (PHEV) Li-ion pouch cells with Feature-Adapted Unsupervised Anomaly Detection
SHABAYEK, Abd El Rahman; RATHINAM, Arunkumar; RUTHVEN, Matthieu et al.
2025In Journal of Power Sources, 629, p. 235982
Peer Reviewed verified by ORBi
 

Files


Full Text
AI-enabled thermal monitoring of commercial (PHEV) Li-ion pouch cells with Feature-Adapted Unsupervised Anomaly Detection.pdf
Author postprint (5.17 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
SHABAYEK, Abd El Rahman  ;  University of Luxembourg
RATHINAM, Arunkumar  ;  University of Luxembourg
RUTHVEN, Matthieu ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > CVI2 > Team Djamila AOUADA
AOUADA, Djamila  ;  University of Luxembourg
Amietszajew, Tazdin 
External co-authors :
yes
Language :
English
Title :
AI-enabled thermal monitoring of commercial (PHEV) Li-ion pouch cells with Feature-Adapted Unsupervised Anomaly Detection
Publication date :
February 2025
Journal title :
Journal of Power Sources
ISSN :
0378-7753
Publisher :
Elsevier BV
Volume :
629
Pages :
235982
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 04 January 2025

Statistics


Number of views
102 (8 by Unilu)
Number of downloads
73 (4 by Unilu)

Scopus citations®
 
3
Scopus citations®
without self-citations
3
OpenCitations
 
0
OpenAlex citations
 
3

Bibliography


Similar publications



Contact ORBilu