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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Institution:	Universiti Tenaga Nasional

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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

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

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