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State of Charge Estimation Method for Lithium-Ion Batteries in All-Electric Ships Based on LSTM Neural Network Cover

State of Charge Estimation Method for Lithium-Ion Batteries in All-Electric Ships Based on LSTM Neural Network

Polish Maritime Research
Volume 27 (2020): Issue 3 (September 2020)
By: Pan Geng,  Xiaoyan Xu and  Tomasz Tarasiuk  
Open Access
|Sep 2020

Authors

Pan Geng

pangeng@shmtu.edu.cn

Shanghai Maritime University, China

Xiaoyan Xu

xuxy@shmtu.edu.cn

Shanghai Maritime University, China

Tomasz Tarasiuk

t.tarasiuk@we.umg.edu.pl

Gdynia Maritime University, Poland
DOI: https://doi.org/10.2478/pomr-2020-0051 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
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Language: English
Page range: 100 - 108
Published on: Sep 29, 2020
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
All-electric ships,
Lithium-ion battery,
state of charge,
neural network
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other,
Geosciences,
Atmospheric science and climatology,
Life sciences,
Life sciences, other

© 2020 Pan Geng, Xiaoyan Xu, Tomasz Tarasiuk, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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