Transfer-driven prognosis from battery cells to packs: An application with adaptive differential model decomposition-Reference-Cited by-同舟云学术

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Transfer-driven prognosis from battery cells to packs: An application with adaptive differential model decomposition

Published:2025-01 Issue: Volume:377 Page:124290
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Lyu Dongzhen^ORCID,Liu Enhui,Chen Huiling,Zhang Bin^ORCID,Xiang Jiawei^ORCID

Publisher

Elsevier BV

Reference42 articles.

1. Direct recycling of degraded lithium-ion batteries of an electric vehicle using hydrothermal relithiation;Chan;Mater Today Energy,2023

2. Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage;Le;Appl Energy,2023

3. A novel smart feature selection strategy of lithium-ion battery degradation modelling for electric vehicles based on modern machine learning algorithms;Rauf;J Energy Storage,2023

4. A vulnerability spatiotemporal distribution prognosis framework for integrated energy systems within intricate data scenes according to importance-fuzzy high-utility pattern identification;Sun;Appl Energy,2023

5. Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives;Li;Renew Sustain Energy Rev,2023

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