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SOC Estimation of Li-ion Batteries with Learning Rate-Optimized Deep Fully Convolutional Network

Charging (batteries); Convolution; Convolutional neural networks; Deep learning; Ions; Learning systems; Lithium compounds; Lithium-ion batteries; Long short-term memory; Temperature; Battery temperature; Convolutional networks; Learning rates; Lithium ions; Novel architecture; Open sources; SOC est...

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Main Authors: Hannan M.A., How D.N.T., Hossain Lipu M.S., Ker P.J., Dong Z.Y., Mansur M., Blaabjerg F.
Other Authors: 7103014445
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-261292023-05-29T17:07:02Z SOC Estimation of Li-ion Batteries with Learning Rate-Optimized Deep Fully Convolutional Network Hannan M.A. How D.N.T. Hossain Lipu M.S. Ker P.J. Dong Z.Y. Mansur M. Blaabjerg F. 7103014445 57212923888 36518949700 37461740800 56608244300 6701749037 7004992352 Charging (batteries); Convolution; Convolutional neural networks; Deep learning; Ions; Learning systems; Lithium compounds; Lithium-ion batteries; Long short-term memory; Temperature; Battery temperature; Convolutional networks; Learning rates; Lithium ions; Novel architecture; Open sources; SOC estimations; State of charge; Battery management systems In this letter, we train deep learning (DL) models to estimate the state-of-charge (SOC) of lithium-ion (Li-ion) battery directly from voltage, current, and battery temperature values. The deep fully convolutional network model is proposed for its novel architecture with learning rate optimization strategies. The proposed model is capable of estimating SOC at constant and varying ambient temperature on different drive cycles without having to be retrained. The model also outperformed other commonly used DL models such as the LSTM, GRU, and CNN on an open source Li-ion battery dataset. The model achieves 0.85% root mean squared error (RMSE) and 0.7% mean absolute error (MAE) at 25 �C and 2.0% RMSE and 1.55% MAE at varying ambient temperature (-20-25 �C). � 1986-2012 IEEE. Final 2023-05-29T09:07:02Z 2023-05-29T09:07:02Z 2021 Article 10.1109/TPEL.2020.3041876 2-s2.0-85097386309 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097386309&doi=10.1109%2fTPEL.2020.3041876&partnerID=40&md5=3867d267f060e0a60c1dea3a1cd4c1a8 https://irepository.uniten.edu.my/handle/123456789/26129 36 7 9276459 7349 7353 All Open Access, Green Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Charging (batteries); Convolution; Convolutional neural networks; Deep learning; Ions; Learning systems; Lithium compounds; Lithium-ion batteries; Long short-term memory; Temperature; Battery temperature; Convolutional networks; Learning rates; Lithium ions; Novel architecture; Open sources; SOC estimations; State of charge; Battery management systems
author2 7103014445
author_facet 7103014445
Hannan M.A.
How D.N.T.
Hossain Lipu M.S.
Ker P.J.
Dong Z.Y.
Mansur M.
Blaabjerg F.
format Article
author Hannan M.A.
How D.N.T.
Hossain Lipu M.S.
Ker P.J.
Dong Z.Y.
Mansur M.
Blaabjerg F.
spellingShingle Hannan M.A.
How D.N.T.
Hossain Lipu M.S.
Ker P.J.
Dong Z.Y.
Mansur M.
Blaabjerg F.
SOC Estimation of Li-ion Batteries with Learning Rate-Optimized Deep Fully Convolutional Network
author_sort Hannan M.A.
title SOC Estimation of Li-ion Batteries with Learning Rate-Optimized Deep Fully Convolutional Network
title_short SOC Estimation of Li-ion Batteries with Learning Rate-Optimized Deep Fully Convolutional Network
title_full SOC Estimation of Li-ion Batteries with Learning Rate-Optimized Deep Fully Convolutional Network
title_fullStr SOC Estimation of Li-ion Batteries with Learning Rate-Optimized Deep Fully Convolutional Network
title_full_unstemmed SOC Estimation of Li-ion Batteries with Learning Rate-Optimized Deep Fully Convolutional Network
title_sort soc estimation of li-ion batteries with learning rate-optimized deep fully convolutional network
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806423998661132288
score 13.188404

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