A Multi-Channel Deep-Learning Prediction Algorithm for Battery State-of-Health Indicator-Reference-Cited by-同舟云学术

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A Multi-Channel Deep-Learning Prediction Algorithm for Battery State-of-Health Indicator

Published:2023-10-25 Issue: Volume: Page:816-821
ISSN:
Container-title:2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Patrizi Gabriele¹,Catelani Marcantonio¹,Ciani Lorenzo¹,Song Yuchen²,Liu Datong²

Affiliation:

1. University of Florence,Department of Information Engineering,Florence,Italy,50139

2. School of Electronics and Information Engineering Harbin Institute of Technology,Harbin,China,150001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10405419/10405547/10405745.pdf?arnumber=10405745

Reference21 articles.

1. Predictive Maintenance of Industrial Equipment using Deep Learning: from sensory data to remaining useful life estimation

2. A review on prognostics and health management (PHM) methods of lithium-ion batteries

3. State of Health analysis for Lithium-ion Batteries considering temperature effect

4. Automated test equipment for battery characterization: a proposal

5. Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles

Cited by 1 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. Towards a State of Health Definition of Lithium Batteries through Electrochemical Impedance Spectroscopy;Electronics;2024-04-11

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