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
Deep Learning Enabled State of Charge Estimation for Electr..:
, In:
2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI)
,
Lipu, Molla Shahadat Hossain
;
Miah, Md. Sazal
;
Ansari, Shaheer
.. - p. 1-7 , 2022
Link:
https://doi.org/10.1109/STI56238.2022.10103230
RT T1 <cTitle>2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI)</cTitle>: T1 <Title>Deep Learning Enabled State of Charge Estimation for Electric Vehicle Batteries Under Noise Effects</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10103230&Exemplar=1&LAN=DE A1 Lipu, Molla Shahadat Hossain A1 Miah, Md. Sazal A1 Ansari, Shaheer A1 Meraj, Sheikh T. A1 Hasan, Kamrul YR 2022 K1 Temperature measurement K1 Lithium-ion batteries K1 Deep learning K1 Radio frequency K1 Estimation K1 Electric vehicles K1 Robustness K1 Lithium-ion battery K1 state of charge K1 battery test bench K1 electric vehicle K1 performance validation SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/STI56238.2022.10103230 DO https://doi.org/10.1109/STI56238.2022.10103230 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
