A CEEMDAN–Transformer–BiLSTM Fusion Network for Accurate State of Health Prediction of Lithium-ion Batteries

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Yunlong Zhang, Xiaolei Bi, Shiqiang Wang, Bin Tao
DOI: 10.2139/ssrn.6219004
Cited by: 0

Fields of Study & Subjects

Advanced Battery Technologies Research Machine Fault Diagnosis Techniques Advancements in Battery Materials

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint