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Battery health prognostic using efficient and robust aging trajectory matching with ensemble deep transfer learning

Release Time:2026-01-29| Hits:

Title of Paper:Battery health prognostic using efficient and robust aging trajectory matching with ensemble deep transfer learning

Journal:Energy

Key Words:Lithium-ion battery;Prognostic and health management (PHM);Aging trajectory matching;Ensemble deep transfer learning;Remaining useful life (RUL)

First Author:赵光财

Correspondence Author:段彬

Volume:282

DOI Number:10.1016/j.energy.2023.128228

Translation or Not:No

Date of Publication:2023-06

Release Time:2026-01-29

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