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eNauka >  Results >  A fast online prediction method for the health state and electrochemical performance of proton exchange membrane fuel cells without prior modeling
Title: A fast online prediction method for the health state and electrochemical performance of proton exchange membrane fuel cells without prior modeling
Authors: Niu, Tong; Zhang, Caizhi; Ren, Yong; Yang, Lei; Wang, Zihao; Rodić, Aleksandar D.  ; Jeločnik, Marko  ; Simonovic, Miloš  
Issue Date: 2025
Publication: Journal of Power Sources
ISSN: 03787753 Journal of Power Sources Search Idenfier
Publisher: Elsevier
Type: Article
Collation: vol. 630 str. 235847-235847
DOI: 10.1016/j.jpowsour.2024.235847
WoS-ID: 001395965800001
Scopus-ID: 2-s2.0-85212941470
URI: http://repository.iep.bg.ac.rs/1080/
https://enauka.gov.rs/handle/123456789/956763
Project: National Natural Science Foundation of China [52276171]
State Key Laboratory of Me-chanical Transmission in Chongqing University [SKLMT-ZZKT-2022R02, SKLMT-ZZKT-2022M08, 2022CDJDX-004]
Metadata source: (Preuzeto iz CrossRef-a) Simonović, Miloš
M-category: 
21aM21a

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