Improving state-of-health estimation for lithium-ion batteries via unlabeled charging data-Reference-Cited by-同舟云学术

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Improving state-of-health estimation for lithium-ion batteries via unlabeled charging data

Published:2023-01 Issue: Volume:54 Page:85-97
ISSN:2405-8297
Container-title:Energy Storage Materials
language:en
Short-container-title:Energy Storage Materials

Author:

Lin Chuanping,Xu Jun^ORCID,Mei Xuesong

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,General Materials Science,Renewable Energy, Sustainability and the Environment

Reference53 articles.

1. Lithium ion capacitors (LICs): development of the materials;Jagadale;Energy Storage Mater.,2019

2. Deep neural network battery impedance spectra prediction by only using constant-current curve;Duan;Energy Storage Mater.,2021

3. Safety issues and mechanisms of lithium-ion battery cell upon mechanical abusive loading: a review;Liu;Energy Storage Mater.,2020

4. Battery lifetime prognostics;Hu;Joule,2020

5. Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning;Zhang;Nat. Commun.,2020

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1. Integrating ensemble learning and meta bagging techniques for temperature-specific State of Health prediction in Lithium-ion Batteries;Energy Reports;2024-12

2. Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data;Journal of Energy Chemistry;2024-12

3. A novel reduced-order electrochemical model of lithium-ion batteries with both high fidelity and real-time applicability;Energy;2024-10

4. An adaptive semi-supervised self-learning method for online state of health estimation of lithium-ion batteries;Energy;2024-10

5. Enhanced vision-transformer integrating with semi-supervised transfer learning for state of health and remaining useful life estimation of lithium-ion batteries;Energy and AI;2024-09

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