LAPSE:2023.26848
Published Article
LAPSE:2023.26848
Cooperative Control for Multi-Module Charging Systems of Ultracapacitors
Xiaoyong Zhang, Jiaxuan Lei, Heng Li, Hongtao Liao, Jun Peng
April 3, 2023
Abstract
Ultracapacitors have recently received great attention for energy storage due to their small pollution, high power density, and long lifetime. In many applications, ultracapacitors need to be charged with a high current, where a multi-module charging system is typically adopted. Although the classical decentralized control method can control the charging process of ultracapacitors, there exists a problem that the charging current may be imbalanced among charging modules. In this paper, a cooperative cascade charging method is proposed for the multi-module charging system to reduce the current imbalance among charging modules. First, the state-space averaging method and graph theory are used to model the multiple-module charging system. Second, an effective cooperative cascade control is proposed, where the outer voltage loop stabilizes the output voltage to the desired voltage and the inner current loop guarantees the current of each charger to follow the target current. The block diagram is used to establish the closed-loop model of the charging system. In order to evaluate the proposed charging method, a laboratory prototype was established. Compared with the classical decentralized method, this method can effectively suppress the current imbalance, which is proved by simulation and experimental results.
Keywords
cascade control, charging, cooperative control, cyber-physical system, ultracapacitor
Suggested Citation
Zhang X, Lei J, Li H, Liao H, Peng J. Cooperative Control for Multi-Module Charging Systems of Ultracapacitors. (2023). LAPSE:2023.26848
Author Affiliations
Zhang X: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Lei J: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Li H: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Liao H: 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
19
Article Number
E5218
Year
2020
Publication Date
2020-10-07
ISSN
1996-1073
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PII: en13195218, Publication Type: Journal Article
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