State of Charge Estimation for Lithium-Ion Batteries in Hybrid Vessels Using Kalman Filters

Approved

Classifications

MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform

Authors of the publication

Number of authors
4
Authors
Elsanhoury, Mahmoud; Koljonen, Janne; Elmusrati, Mohammed; Niemi, Seppo

Publication channel information

Title of host publication
2024 25th International Middle East Power System Conference (MEPCON)
ISBN (print)
979-8-3503-7965-5
ISBN (electronic)
979-8-3503-7964-8
Name of conference
International Middle-East Power System Conference, MEPCON
Publisher
IEEE
Publication forum ID
5475
Publication forum level
1
Publication appears in FT-list
No
Country of publication
United States
Internationality
Yes

Detailed publication information

Publication year
2025
Reporting year
2025
DOI
10.1109/mepcon63025.2024.10850412
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
No

Availability

Link to self-archived version
https://urn.fi/URN:NBN:fi-fe2025052252994

Classification and additional information

MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics
Keywords
State of charge estimation; Kalman filters; Lithium-ion; Battery; Hybrid vessels

Funding information

Funding information in the publication
This work was carried out and supported by the INTENS project during the period of 2018–2020.

Source database ID

Scopus ID
2-s2.0-105001598171