Feature Selection for Cycle Life Prediction of Fast-Charged Lithium-ion Batteries

Mohammed, Rehan; Le, Vu; Creighton, Douglas; Hosen, Anwar

Feature Selection for Cycle Life Prediction of Fast-Charged Lithium-ion Batteries

https://hdl.handle.net/10779/DRO/DU:24319321

conference contribution

posted on 2024-06-03, 00:06 authored by Rehan Mohammed, Vu LeVu Le, Douglas CreightonDouglas Creighton, Anwar HosenAnwar Hosen

Feature Selection for Cycle Life Prediction of Fast-Charged Lithium-ion Batteries

History

Related Materials

1.
DOI - Is version of https://doi.org/10.1109/IAICT59002.2023.10205862

Location

Bali, Indonesia

Language

eng

Publication classification

E1 Full written paper - refereed

Volume

00

Pagination

271-276

Start date

2023-07-13

End date

2023-07-15

eISSN

2834-8249

ISBN-13

9798350313635

Title of proceedings

Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023

Event

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Publication URL

http://dx.doi.org/10.1109/iaict59002.2023.10205862

Usage metrics

Keywords

Uncategorised value

Feature Selection for Cycle Life Prediction of Fast-Charged Lithium-ion Batteries

History

Related Materials

Location

Language

Publication classification

Volume

Pagination

Start date

End date

eISSN

ISBN-13

Title of proceedings

Event

Publisher

Place of publication

Publication URL

Usage metrics

Categories

Keywords

Licence

Exports