Shunli Wang
A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model.
Wang, Shunli; Takyi-Aninakwa, Paul; Fan, Yongcun; Yu, Chunmei; Jin, Siyu; Fernandez, Carlos; Stroe, Daniel-Ioan
Authors
Paul Takyi-Aninakwa
Yongcun Fan
Chunmei Yu
Siyu Jin
Dr Carlos Fernandez c.fernandez@rgu.ac.uk
Senior Lecturer
Daniel-Ioan Stroe
Abstract
Accurate state of charge (SOC) and closed-circuit voltage (CCV) prediction is essential for lithium-ion batteries and their model performance. In this study, a novel feedback correction-adaptive Kalman filtering (FC-AKF) method is proposed for the online battery state co-prediction, which is adaptive to the whole-life-cycle of the lithium-ion battery based on the improved second-order equivalent circuit model (SO-ECM). For the feedback correction strategy, the optimized iterative state initialization is conducted using the uncertainty covariance matrix of the prior three-time points with the convergence of the updating process. The experimental results show that the SOC prediction error of the proposed FC-AKF method is 0.0099% and 0.975% compared with the ampere-hour integral method under the dynamic stress test (DST) and the Beijing bus dynamic stress test (BBDST) working conditions, respectively. Also, the CCV traction by the SO-ECM is 0.80 V and has fast initial convergence and quick prediction error reduction characteristics. The constructed iterative calculation model promotes the accurate SOC and CCV co-prediction effect, improving the safety and longevity of lithium-ion batteries with high precision and fast convergence advantages.
Citation
WANG, S., TAKYI-ANINAKWA, P., FAN, Y., YU, C., JIN, S., FERNANDEZ, C. and STROE, D.-I. 2022. A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model. International journal of electrical power and energy systems [online], 139, article 108020. Available from: https://doi.org/10.1016/j.ijepes.2022.108020
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 30, 2022 |
Online Publication Date | Feb 9, 2022 |
Publication Date | Jul 31, 2022 |
Deposit Date | Feb 14, 2022 |
Publicly Available Date | Mar 28, 2024 |
Journal | International Journal of Electrical Power and Energy Systems |
Print ISSN | 0142-0615 |
Electronic ISSN | 1879-3517 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 139 |
Article Number | 108020 |
DOI | https://doi.org/10.1016/j.ijepes.2022.108020 |
Keywords | State of charge; Closed-circuit voltage; Second-order equivalent circuit model; Feedback correction-adaptive Kalman filter; Whole-life-cycle variation; Fast initial convergence |
Public URL | https://rgu-repository.worktribe.com/output/1592403 |
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WANG 2022 A novel feedback correction-adaptive (AAM)
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
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