Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156963
Title: A constrained inter-submodule state-of-charge balancing method for battery energy storage systems based on the cascaded H-bridge converter
Authors: Liang, Gaowen
Rodriguez, Ezequiel
Farivar, Glen G.
Ceballos, Salvador
Townsend, Christopher D.
Gorla, Naga Brahmendra Yadav
Pou, Josep
Keywords: Engineering::Electrical and electronic engineering::Power electronics
Issue Date: 2022
Source: Liang, G., Rodriguez, E., Farivar, G. G., Ceballos, S., Townsend, C. D., Gorla, N. B. Y. & Pou, J. (2022). A constrained inter-submodule state-of-charge balancing method for battery energy storage systems based on the cascaded H-bridge converter. IEEE Transactions On Power Electronics. https://dx.doi.org/10.1109/TPEL.2022.3170062
Journal: IEEE Transactions on Power Electronics
Abstract: In the operation of battery energy storage systems (BESSs) based on the cascaded H-bridge (CHB) converters, it is desirable to balance the state of charge (SoC) among the submodules (SMs) within each phase arm. However, there are constraints on the active power distribution among the SMs that intends to balance the SoC. For instance, each SM in a practical system is designed with a specific power rating and can be damaged if it is exceeded. Therefore, a novel rule-based method is proposed in this paper to achieve a fast SoC balancing while respecting the power constraints of the SMs. The proposed method is general and readily applicable to hybrid BESSs, where the SMs are integrated with heterogeneous energy storage. Experimental results are obtained to verify the effectiveness of the proposed algorithm and to compare its performance with respect to existing methods.
URI: https://hdl.handle.net/10356/156963
ISSN: 0885-8993
DOI: 10.1109/TPEL.2022.3170062
Schools: School of Electrical and Electronic Engineering 
Research Centres: Energy Research Institute @ NTU (ERI@N) 
Rights: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TPEL.2022.3170062.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
ERI@N Journal Articles

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