A deep learning approach for supercapacitor remaining useful life prediction using pre-classifying strategy-Reference-Cited by-同舟云学术

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A deep learning approach for supercapacitor remaining useful life prediction using pre-classifying strategy

Published:2024-10 Issue: Volume:100 Page:113458
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Huang Yaodi,Xu Jun,Cai Zhongmin

Funder

China Postdoctoral Science Foundation

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

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference45 articles.

1. Super capacitors for energy storage: Progress, applications and challenges;Yadlapalli;J. Energy Storage,2022

2. Supercapacitors: Properties and applications;Libich;J. Energy Storage,2018

3. A review on the recent advances in hybrid supercapacitors;Chatterjee;J. Mater. Chem. A,2021

4. A review on characterization of supercapacitors and its efficiency analysis for different charging methods and applications;Pattnaik;Energy Storage,2022

5. Strong robustness and high accuracy in predicting remaining useful life of supercapacitors;Liu;APL Mater.,2022

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