Lithium-Ion Battery Capacity Estimation Based on Incremental Capacity Analysis and Deep Convolutional Neural Network
Accurate estimation of Li-ion battery capacity is critical for a battery management system (BMS). This paper proposes an innovative method which combines a convolutional neural network and incremental capacity analysis (ICA). In the present approach, the voltage and temperature, which significantly...
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MDPI AG
2024-03-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/17/6/1272 |
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author | Sibo Zeng Sheng Chen Babakalli Alkali |
author_facet | Sibo Zeng Sheng Chen Babakalli Alkali |
author_sort | Sibo Zeng |
collection | DOAJ |
description | Accurate estimation of Li-ion battery capacity is critical for a battery management system (BMS). This paper proposes an innovative method which combines a convolutional neural network and incremental capacity analysis (ICA). In the present approach, the voltage and temperature, which significantly affect the ICA curve during the discharging process, are adopted as the inputs for CNN. Rather than extracting feature parameters of an IC curve, as is carried out in the available research, the present method uses the whole ICA curve as the input to avoid complicated feature extraction and correlation analysis. The results show that the maximum error of capacity estimation is less than 4.7%, the rectified mean squared error is less than 1.3% for each battery, and the overall RMSE is below 1.12%. |
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format | Article |
id | doaj.art-aea2d610a16947eabb4be1d96ac4a07c |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-04-24T18:21:36Z |
publishDate | 2024-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-aea2d610a16947eabb4be1d96ac4a07c2024-03-27T13:35:18ZengMDPI AGEnergies1996-10732024-03-01176127210.3390/en17061272Lithium-Ion Battery Capacity Estimation Based on Incremental Capacity Analysis and Deep Convolutional Neural NetworkSibo Zeng0Sheng Chen1Babakalli Alkali2Zhuzhou CRRC Times Electric Co., Ltd., Zhuzhou 412001, ChinaSchool of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UKSchool of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UKAccurate estimation of Li-ion battery capacity is critical for a battery management system (BMS). This paper proposes an innovative method which combines a convolutional neural network and incremental capacity analysis (ICA). In the present approach, the voltage and temperature, which significantly affect the ICA curve during the discharging process, are adopted as the inputs for CNN. Rather than extracting feature parameters of an IC curve, as is carried out in the available research, the present method uses the whole ICA curve as the input to avoid complicated feature extraction and correlation analysis. The results show that the maximum error of capacity estimation is less than 4.7%, the rectified mean squared error is less than 1.3% for each battery, and the overall RMSE is below 1.12%.https://www.mdpi.com/1996-1073/17/6/1272lithium-ion batterycapacity estimationincremental capacity analysisgaussian regressionconvolutional neural network |
spellingShingle | Sibo Zeng Sheng Chen Babakalli Alkali Lithium-Ion Battery Capacity Estimation Based on Incremental Capacity Analysis and Deep Convolutional Neural Network Energies lithium-ion battery capacity estimation incremental capacity analysis gaussian regression convolutional neural network |
title | Lithium-Ion Battery Capacity Estimation Based on Incremental Capacity Analysis and Deep Convolutional Neural Network |
title_full | Lithium-Ion Battery Capacity Estimation Based on Incremental Capacity Analysis and Deep Convolutional Neural Network |
title_fullStr | Lithium-Ion Battery Capacity Estimation Based on Incremental Capacity Analysis and Deep Convolutional Neural Network |
title_full_unstemmed | Lithium-Ion Battery Capacity Estimation Based on Incremental Capacity Analysis and Deep Convolutional Neural Network |
title_short | Lithium-Ion Battery Capacity Estimation Based on Incremental Capacity Analysis and Deep Convolutional Neural Network |
title_sort | lithium ion battery capacity estimation based on incremental capacity analysis and deep convolutional neural network |
topic | lithium-ion battery capacity estimation incremental capacity analysis gaussian regression convolutional neural network |
url | https://www.mdpi.com/1996-1073/17/6/1272 |
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