A feature fusion optimization algorithm for predicting the remaining useful life of lithium-ion batteries-Reference-Cited by-同舟云学术

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A feature fusion optimization algorithm for predicting the remaining useful life of lithium-ion batteries

Published:2023-08 Issue: Volume:9 Page:142-153
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Zhang Xinghong,Xu Yi,Gong Zehao

Publisher

Elsevier BV

Subject

General Energy

Reference27 articles.

1. Review of state-of-health estimation methods for lithium-ion battery;Hu;Power Supply,2022

2. Remaining useful life prediction of lithium-ion battery based on CNN-Bi-LSTM network;Liang;Electr Power Autom Equip,2021

3. Analysis on aging characteristics of lithium-ion batteries;Ding;Chin Power Sources,2019

4. Capacity fade modeling of lithium-ion battery under cyclic loading conditions;Ashwin;Power Sources,2016

5. A fast estimation algorithm for lithium-ion battery state of health;Tang;Power Sources,2018

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges;Journal of Energy Chemistry;2024-10

2. Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm;Journal of Energy Storage;2024-09

3. Remaining useful life prediction of lithium-ion batteries based on performance degradation mechanism analysis and improved Deep Extreme Learning Machine model;Ionics;2024-07-06

4. Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, and outstanding issues;Energy Reports;2024-06

5. Harnessing CNN-DNC and CNN-LSTM-DNC Architectures for Enhanced Lithium-Ion Remaining Useful Life Prediction;2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS);2023-11-21

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