State of Charge Estimation in Lithium-Sulfur Cells Using LSTM Recurrent Neural Networks *

2020 European Control Conference (ECC) ◽

10.23919/ecc51009.2020.9143926 ◽

2020 ◽

Author(s):

Zhihuo Wang ◽

Abbas Fotouhi ◽

Daniel J. Auger

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

State Of Charge ◽

State Of Charge Estimation ◽

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Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks

Applied Soft Computing ◽

10.1016/j.asoc.2021.108401 ◽

2022 ◽

pp. 108401

Author(s):

Chong Bian ◽

Shunkun Yang ◽

Jie Liu ◽

Enrico Zio

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

State Of Charge ◽

Li Ion Batteries ◽

Li Ion ◽

State Of Charge Estimation

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A Novel State of Charge Estimation Method of Batteries Using Recurrent Neural Networks

Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018) ◽

10.2991/ncce-18.2018.199 ◽

2018 ◽

Author(s):

Anyu Cheng ◽

Yao Wang

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Estimation Method ◽

State Of Charge ◽

State Of Charge Estimation

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State of charge estimation for batteries using recurrent neural networks

2018 Chinese Automation Congress (CAC) ◽

10.1109/cac.2018.8623351 ◽

2018 ◽

Author(s):

A.Y. Cheng ◽

Y. Wang ◽

Z. L. Cheng ◽

X. S. Cheng ◽

F. Dei

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

State Of Charge ◽

State Of Charge Estimation

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Comparative Study of State-Of-Charge Estimation with Recurrent Neural Networks

2019 IEEE Transportation Electrification Conference and Expo (ITEC) ◽

10.1109/itec.2019.8790597 ◽

2019 ◽

Author(s):

Nikolaos Wassiliadis ◽

Thomas Herrmann ◽

Leo Wildfeuer ◽

Christoph Reiter ◽

Markus Lienkamp

Keyword(s):

Neural Networks ◽

Comparative Study ◽

Recurrent Neural Networks ◽

State Of Charge ◽

State Of Charge Estimation

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State of Charge Estimation using Recurrent Neural Networks with Long Short-Term Memory for Lithium-Ion Batteries

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2019.8926815 ◽

2019 ◽

Author(s):

S. Bockrath ◽

A. Rosskopf ◽

S. Koffel ◽

S. Waldhor ◽

K. Srivastava ◽

...

Keyword(s):

Neural Networks ◽

Lithium Ion Batteries ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Lithium Ion ◽

State Of Charge ◽

Term Memory ◽

Long Short Term Memory ◽

State Of Charge Estimation

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Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons

Applied Energy ◽

10.1016/j.apenergy.2021.117962 ◽

2022 ◽

Vol 305 ◽

pp. 117962

Author(s):

Zhimin Xi ◽

Rui Wang ◽

Yuhong Fu ◽

Chris Mi

Keyword(s):

Neural Networks ◽

Lithium Ion Batteries ◽

Recurrent Neural Networks ◽

Lithium Ion ◽

State Of Charge ◽

State Of Charge Estimation

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Lithium-Sulfur Cell State of Charge Estimation Using a Classification Technique

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2020.3045213 ◽

2020 ◽

pp. 1-1

Author(s):

Neda Shateri ◽

Zhihao Shi ◽

Daniel J. Auger ◽

Abbas Fotouhi

Keyword(s):

State Of Charge ◽

Classification Technique ◽

State Of Charge Estimation ◽

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State of Charge Estimation and State of Health Diagnostic Method Using Multilayer Neural Networks

2021 International Conference on Electronics, Information, and Communication (ICEIC) ◽

10.1109/iceic51217.2021.9369782 ◽

2021 ◽

Author(s):

Jong-Hyun Lee ◽

Hyun-Sil Kim ◽

In-Soo Lee

Keyword(s):

Neural Networks ◽

Diagnostic Method ◽

State Of Charge ◽

State Of Health ◽

Multilayer Neural Networks ◽

State Of Charge Estimation

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Data-driven state-of-charge estimation of the Panasonic 18650PF Li-ion cell using deep forward neural networks

10.1109/induscon51756.2021.9529774 ◽

2021 ◽

Author(s):

Alexandre B. de Lima ◽

Mauricio B. C. Salles ◽

Jose Roberto Cardoso

Keyword(s):

Neural Networks ◽

State Of Charge ◽

Data Driven ◽

Li Ion ◽

State Of Charge Estimation

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State of charge estimation of lead acid batteries using neural networks

2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT) ◽

10.1109/iccpct.2013.6528901 ◽

2013 ◽

Author(s):

I. Anand ◽

B.L. Mathur

Keyword(s):

Neural Networks ◽

State Of Charge ◽

Lead Acid Batteries ◽

State Of Charge Estimation ◽

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