Efficient state of charge estimation of lithium-ion batteries in electric vehicles using evolutionary intelligence-assisted GLA–CNN–Bi-LSTM deep learning model
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
Heliyon
ISSN (electronic)
2405-8440
ISSN (linking)
2405-8440
Publisher
Elsevier
Publication forum ID
84134
Publication forum level
1
Publication appears in FT-list
No
SNIP-level of the publication
1.26
Country of publication
United Kingdom
Internationality
Yes
Detailed publication information
Publication year
2024
Reporting year
2025
Journal/series volume number
10
Journal/series issue number
15
Article number
e35183
DOI
10.1016/j.heliyon.2024.e35183
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
222 Other engineering and technologies
Keywords
Convolutional neural network (CNN); Bidirectional long short-term memory (bi-LSTM); Group learning algorithm (GLA); State of charge (SoC); Electric vehicles (EVs); Deep learning
Research data information
Research data information in the publication
The data used in this work will be made available on request.
Source database ID
WoS ID
WOS:001290390500001
Scopus ID
Scopus:85200362892