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Lithium-Ion Battery State of Health Prediction Using a Hybrid BiLSTM–Random Forest Framework.

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Bibliographic Details
Title: Lithium-Ion Battery State of Health Prediction Using a Hybrid BiLSTM–Random Forest Framework.
Authors: Mohamud, Nur Mohamed1,2, Ayob, Shahrin Md1,2, Saimon, Siti Mahfuza1,3, Nahhas, Ahmed M.3,4, Arfeen, Zeeshan Ahmad4,5, m.aman@ubt.edu.sa, Masud, Muhammad I.5,6, Aman, Mohammed1,6
Source: Batteries; Jun2026, Vol. 12 Issue 6, p210, 34p
Database: Applied Science & Technology Source
Description
ISSN:23130105
DOI:10.3390/batteries12060210