A hybrid deep learning framework integrating bidirectional sliding windows, TCN, and external attention for accurate state-of-charge estimation in lithium-ion batteries-Reference-Cited by-同舟云学术

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A hybrid deep learning framework integrating bidirectional sliding windows, TCN, and external attention for accurate state-of-charge estimation in lithium-ion batteries

Published:2024-12 Issue: Volume:622 Page:235312
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Shah Syed Abbas Ali,Wang Shunli,Niazi Sajawal Gul^ORCID,Shah Syed Maooz Ali,Ning Shungang,Butt Muhamamd Hassaan Farooq,Xu Ziqiang^ORCID,Wu Mengqiang^ORCID

Funder

Sichuan Provincial Science and Technology Support Program

Chengdu Municipal Science and Technology Program

Publisher

Elsevier BV

Reference81 articles.

1. Driving towards sustainability: electric vehicles' contribution to environmental and public health;Jansen;J. Sustain. Tech. Infrastruct. Plan.,2023

2. The renewable energy role in the global energy Transformations;Hassan;Renew. Energy Focus,2024

3. State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network;Gao;J. Energy Storage,2023

4. Soh Estimation Method of Lithium Sulfur Battery Based on Ica-Bi-Lstm Combination Estimation;Yang,2023

5. Study on lifetime decline prediction of lithium-ion capacitors;Cui;Energies,2023

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