Layered energy equalization structure for series battery pack based on multiple optimal matching

The equalization management system is an essential guarantee for the safe, stable, and efficient operation of the power battery pack, mainly composed of the topology of the equalization circuit and the corresponding control strategy. This article proposes a novel active balancing control strategy to...

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Main Authors: Jianfang Jiao, Hongwei Wang, Feng Gao, Serdar Coskun, Guang Wang, Jiale Xie, Fei Feng
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Green Energy and Intelligent Transportation
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Online Access:http://www.sciencedirect.com/science/article/pii/S2773153724000343
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author Jianfang Jiao
Hongwei Wang
Feng Gao
Serdar Coskun
Guang Wang
Jiale Xie
Fei Feng
author_facet Jianfang Jiao
Hongwei Wang
Feng Gao
Serdar Coskun
Guang Wang
Jiale Xie
Fei Feng
author_sort Jianfang Jiao
collection DOAJ
description The equalization management system is an essential guarantee for the safe, stable, and efficient operation of the power battery pack, mainly composed of the topology of the equalization circuit and the corresponding control strategy. This article proposes a novel active balancing control strategy to address the issue of individual cell energy imbalance in battery packs. Firstly, to achieve energy equalization under complex conditions, a two-layer equalization circuit topology is designed, and the efficiency and loss of energy transfer in the equalization process are studied. Furthermore, a directed graph-based approach was proposed to represent the circuit topology equivalently as a multi-weighted network. Combined with a multi-weighted optimal matching algorithm, aims to determine the optimal energy transfer path and reduce equalization losses. In addition, a fuzzy controller that can dynamically adjust the equalization current with the state parameter of the cell as the input condition is designed to optimize the equalization efficiency. Matlab/Simulink software is used to build and simulate the model. The experimental results indicate that, under the same static state, the newly proposed control strategy improves efficiency by 6.08% and enhances equalization speed by 42.03% compared to the maximum value equalization method. The method also effectively improves energy utilization under the same charging and discharging states.
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id doaj-art-d569ffd44c054e5e8b8646dc721a1605
institution Kabale University
issn 2773-1537
language English
publishDate 2025-04-01
publisher Elsevier
record_format Article
series Green Energy and Intelligent Transportation
spelling doaj-art-d569ffd44c054e5e8b8646dc721a16052025-02-09T05:01:47ZengElsevierGreen Energy and Intelligent Transportation2773-15372025-04-0142100182Layered energy equalization structure for series battery pack based on multiple optimal matchingJianfang Jiao0Hongwei Wang1Feng Gao2Serdar Coskun3Guang Wang4Jiale Xie5Fei Feng6Department of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Mechanical Engineering, Tarsus University, Tarsus, TurkeyDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaSchool of Automation, Chongqing University, Chongqing 400044, China; Corresponding author.The equalization management system is an essential guarantee for the safe, stable, and efficient operation of the power battery pack, mainly composed of the topology of the equalization circuit and the corresponding control strategy. This article proposes a novel active balancing control strategy to address the issue of individual cell energy imbalance in battery packs. Firstly, to achieve energy equalization under complex conditions, a two-layer equalization circuit topology is designed, and the efficiency and loss of energy transfer in the equalization process are studied. Furthermore, a directed graph-based approach was proposed to represent the circuit topology equivalently as a multi-weighted network. Combined with a multi-weighted optimal matching algorithm, aims to determine the optimal energy transfer path and reduce equalization losses. In addition, a fuzzy controller that can dynamically adjust the equalization current with the state parameter of the cell as the input condition is designed to optimize the equalization efficiency. Matlab/Simulink software is used to build and simulate the model. The experimental results indicate that, under the same static state, the newly proposed control strategy improves efficiency by 6.08% and enhances equalization speed by 42.03% compared to the maximum value equalization method. The method also effectively improves energy utilization under the same charging and discharging states.http://www.sciencedirect.com/science/article/pii/S2773153724000343Active equalizationTwo-layer structureDirected graphOptimal matchingFuzzy control
spellingShingle Jianfang Jiao
Hongwei Wang
Feng Gao
Serdar Coskun
Guang Wang
Jiale Xie
Fei Feng
Layered energy equalization structure for series battery pack based on multiple optimal matching
Green Energy and Intelligent Transportation
Active equalization
Two-layer structure
Directed graph
Optimal matching
Fuzzy control
title Layered energy equalization structure for series battery pack based on multiple optimal matching
title_full Layered energy equalization structure for series battery pack based on multiple optimal matching
title_fullStr Layered energy equalization structure for series battery pack based on multiple optimal matching
title_full_unstemmed Layered energy equalization structure for series battery pack based on multiple optimal matching
title_short Layered energy equalization structure for series battery pack based on multiple optimal matching
title_sort layered energy equalization structure for series battery pack based on multiple optimal matching
topic Active equalization
Two-layer structure
Directed graph
Optimal matching
Fuzzy control
url http://www.sciencedirect.com/science/article/pii/S2773153724000343
work_keys_str_mv AT jianfangjiao layeredenergyequalizationstructureforseriesbatterypackbasedonmultipleoptimalmatching
AT hongweiwang layeredenergyequalizationstructureforseriesbatterypackbasedonmultipleoptimalmatching
AT fenggao layeredenergyequalizationstructureforseriesbatterypackbasedonmultipleoptimalmatching
AT serdarcoskun layeredenergyequalizationstructureforseriesbatterypackbasedonmultipleoptimalmatching
AT guangwang layeredenergyequalizationstructureforseriesbatterypackbasedonmultipleoptimalmatching
AT jialexie layeredenergyequalizationstructureforseriesbatterypackbasedonmultipleoptimalmatching
AT feifeng layeredenergyequalizationstructureforseriesbatterypackbasedonmultipleoptimalmatching