I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Data-driven prognosis of failure detection and prediction o..:
Kouhestani, Hamed Sadegh
;
Liu, Lin
;
Wang, Ruimin
.
Kouhestani, H.S., Liu, L., Wang, R., Chandra, A. (2023), Data-driven prognosis of failure detection and prediction of lithium-ion batteries, Journal of Energy Storage, vol. 70, 108045, https://doi.org/10.1016/j.est.2023.108045. , 2023
Link:
https://hdl.handle.net/1808/34704
RT Journal T1 <Title>Data-driven prognosis of failure detection and prediction of lithium-ion batteries</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivkansas:oai:kuscholarworks.ku.edu:1808_34704&Exemplar=1&LAN=DE A1 Kouhestani, Hamed Sadegh A1 Liu, Lin A1 Wang, Ruimin A1 Chandra, Abhijit PB Elsevier YR 2023 K1 Lithium-ion battery K1 Data-driven K1 Prognostication K1 Instability K1 Deterministic method JF Kouhestani, H.S., Liu, L., Wang, R., Chandra, A. (2023), Data-driven prognosis of failure detection and prediction of lithium-ion batteries, Journal of Energy Storage, vol. 70, 108045, https://doi.org/10.1016/j.est.2023.108045 LK http://dx.doi.org/https://hdl.handle.net/1808/34704 DO https://hdl.handle.net/1808/34704 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
