Prognostics and health management of Lithium-ion battery using deep learning methods: A review-Reference-Cited by-同舟云学术

Prognostics and health management of Lithium-ion battery using deep learning methods: A review

Published:2022-06 Issue: Volume:161 Page:112282
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Zhang Ying^ORCID,Li Yan-Fu^ORCID

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference101 articles.

1. The application of hybrid energy storage system with electrified continuously variable transmission in battery electric vehicle;Ruan;Energy,2019

2. Reliable state of health condition monitoring of li-ion batteries based on incremental support vector regression with parameters optimization;Ben Ali;Proc Inst Mech Eng I: J Syst Control Eng,2020

3. Dual crosslinked binders based on poly (2-hydroxyethyl methacrylate) and polyacrylic acid for silicon anode in lithium-ion battery;Tsai;Electrochim Acta,2020

4. An RUL prediction approach for lithium-ion battery based on sade-mesn;Ji;Appl Soft Comput,2021

5. A review on the application of deep learning in system health management;Khan;Mech Syst Signal Process,2018

Cited by 125 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. Aging mechanisms, prognostics and management for lithium-ion batteries: Recent advances;Renewable and Sustainable Energy Reviews;2025-01

2. Numerical study on heat dissipation of double layer enhanced liquid cooling plate for lithium battery module;International Journal of Thermal Sciences;2024-12

3. Intelligent recognition of structural health state of EV lithium-ion Battery using transfer learning based on X-ray computed tomography;Reliability Engineering & System Safety;2024-11

4. Generative adversarial networks for prognostic and health management of industrial systems: A review;Expert Systems with Applications;2024-11

5. Multi-scale prediction of remaining useful life of lithium-ion batteries based on variational mode decomposition and integrated machine learning;Journal of Energy Storage;2024-10