Equivalent circuit simulated deep network architecture and transfer learning for remaining useful life prediction of lithium-ion batteries-Reference-Cited by-同舟云学术

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Equivalent circuit simulated deep network architecture and transfer learning for remaining useful life prediction of lithium-ion batteries

Published:2023-11 Issue: Volume:71 Page:108042
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Nguyen Cong Dai,Bae Suk Joo

Funder

Ministry of Trade, Industry and Energy

Korea Institute of Energy Technology Evaluation and Planning

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference49 articles.

1. A double-scale, particle-filtering, energy state prediction algorithm for lithium-ion batteries;Xiong;IEEE Trans. Ind. Electron.,2017

2. Lithium-ion battery pack state of charge and state of energy estimation algorithms using a hardware-in-the-loop validation;Zhang;IEEE Trans. Power Electron.,2017

3. A review on prognostics and health monitoring of li-ion battery;Zhang;J. Power Sources,2011

4. Ageing mechanisms in lithium-ion batteries;Vetter;J. Power Sources,2005

5. Prognostics in battery health management;Goebel;IEEE Instrum. Meas. Mag.,2008

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4. A novel feature optimization and ensemble learning method for state-of-health prediction of mining lithium-ion batteries;Energy;2024-07

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