Capacity estimation of lithium-ion batteries for various aging states through knowledge transfer-Reference-Cited by-同舟云学术

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Capacity estimation of lithium-ion batteries for various aging states through knowledge transfer

Published:2021 Issue: Volume: Page:1-1
ISSN:2332-7782
Container-title:IEEE Transactions on Transportation Electrification
language:
Short-container-title:IEEE Trans. Transp. Electrific.

Author:

Chun Huiyong,Kim Jungsoo,Kim Minho,Lee Jangwoo,Lee Taekyung,Han Soohee

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6687316/7098407/09632587.pdf?arnumber=9632587

Cited by 18 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 physics-informed neural network approach to parameter estimation of lithium-ion battery electrochemical model;Journal of Power Sources;2024-11

2. Estimation of lithium-ion battery electrochemical properties from equivalent circuit model parameters using machine learning;Journal of Energy Storage;2024-10

3. Modeling spatiotemporal temperature dynamics of large-format power batteries: A multi-source information fusion approach;Advanced Engineering Informatics;2024-10

4. State of Health Estimation and Remaining Useful Life Prediction of Lithium-Ion Batteries by Charging Feature Extraction and Ridge Regression;Applied Sciences;2024-04-09

5. Identification of the aging state of lithium-ion batteries via temporal convolution network and self-attention mechanism;Journal of Energy Storage;2024-04

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