Optimized VMD–Transformer Framework for Accurate Remaining Useful Life Prediction of Lithium-Ion Batteries

Authors

Demba Diallo (ORCID: https://orcid.org/0000-0002-4421-6175)
Mohamed Benbouzid (ORCID: https://orcid.org/0000-0002-4844-508X)
Claude Delpha (ORCID: https://orcid.org/0000-0003-3224-8628)
Xinghao Du (ORCID: https://orcid.org/0000-0002-7677-071X)
Lu Zhang (ORCID: https://orcid.org/0009-0002-1987-4659)

Institutions

Centre National de la Recherche Scientifique (FR)
Université de Bretagne Occidentale (FR)
Laboratoire des signaux et systèmes (FR)
CentraleSupélec (FR)
Institut de Recherche Dupuy de Lôme (FR)

Publication Details

Journal: IEEE Transactions on Transportation Electrification
Published: 2025-09-19
DOI: https://doi.org/10.1109/tte.2025.3611996
Primary Topic: Advanced Battery Technologies Research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Optimized VMD–Transformer Framework for Accurate Remaining Useful Life Prediction of Lithium-Ion Batteries

Demba Diallo, Mohamed Benbouzid, Claude Delpha, Xinghao Du et al.

Sep 19, 2025

IEEE Transactions on Transportation Electrification

Advanced Battery Technologies Research

article

Optimized VMD–Transformer Framework for Accurate Remaining Useful Life Prediction of Lithium-Ion Batteries

Demba Diallo, Mohamed Benbouzid, Claude Delpha, Xinghao Du, Lu Zhang

September 19, 2025article en

Abstract

No abstract available for this paper.

IEEE Transactions on Transportation ElectrificationVol. 12(1)

Centre National de la Recherche Scientifique (FR), Université de Bretagne Occidentale (FR), Laboratoire des signaux et systèmes (FR), CentraleSupélec (FR), Institut de Recherche Dupuy de Lôme (FR)

Openalex Percentile: Top 72%

Advanced Battery Technologies Research

DOI Source OpenAlex

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