LAPSE:2023.27320
Published Article

LAPSE:2023.27320
Lithium-Ion Battery SoC Equilibrium: An Artificial Potential Field-Based Method
April 4, 2023
Abstract
Battery balance methods are the key technology to ensure the safe and efficient operation of the energy storage systems. Nevertheless, convenient balance methods experience slow convergence and difficult to adapt to quick charging applications. To solve the problem, in this paper, an artificial potential field-based lithium-ion battery balance method is proposed. Firstly, a cyber-physical model of the battery equalization system is proposed, in which the physical layer models the circuit components and the cyber layer represents the communication topology between the batteries. Then the virtual force function is established by artificial potential field to attract the voltage and state-of-charge of each cell to nominal values. With a feedback control law, the charging current of the battery is reasonably distributed to realize the rapid balance among batteries. The experimental results verify the effectiveness and superiority of the proposed method.
Battery balance methods are the key technology to ensure the safe and efficient operation of the energy storage systems. Nevertheless, convenient balance methods experience slow convergence and difficult to adapt to quick charging applications. To solve the problem, in this paper, an artificial potential field-based lithium-ion battery balance method is proposed. Firstly, a cyber-physical model of the battery equalization system is proposed, in which the physical layer models the circuit components and the cyber layer represents the communication topology between the batteries. Then the virtual force function is established by artificial potential field to attract the voltage and state-of-charge of each cell to nominal values. With a feedback control law, the charging current of the battery is reasonably distributed to realize the rapid balance among batteries. The experimental results verify the effectiveness and superiority of the proposed method.
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Keywords
artificial potential field, balance, cooperative control, lithium-ion battery, state-of-charge
Subject
Suggested Citation
Liao H, Jiang F, Jin C, Wu Y, Li H, Liu Y, Huang Z, Peng J. Lithium-Ion Battery SoC Equilibrium: An Artificial Potential Field-Based Method. (2023). LAPSE:2023.27320
Author Affiliations
Liao H: School of Automation, Central South University, Changsha 410083, China
Jiang F: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Jin C: School of Automation, Central South University, Changsha 410083, China
Wu Y: School of Automation, Central South University, Changsha 410083, China
Li H: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Liu Y: School of Automation, Central South University, Changsha 410083, China
Huang Z: School of Automation, Central South University, Changsha 410083, China
Peng J: School of Computer Science and Engineering, Central South University, Changsha 410083, China [ORCID]
Jiang F: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Jin C: School of Automation, Central South University, Changsha 410083, China
Wu Y: School of Automation, Central South University, Changsha 410083, China
Li H: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Liu Y: School of Automation, Central South University, Changsha 410083, China
Huang Z: School of Automation, Central South University, Changsha 410083, China
Peng J: School of Computer Science and Engineering, Central South University, Changsha 410083, China [ORCID]
Journal Name
Energies
Volume
13
Issue
21
Article Number
E5691
Year
2020
Publication Date
2020-10-30
ISSN
1996-1073
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PII: en13215691, Publication Type: Journal Article
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LAPSE:2023.27320
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https://doi.org/10.3390/en13215691
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