Layered energy equalization structure for series battery pack based on multiple optimal matching
dc.authorid | Coskun, Serdar/0000-0002-7080-0340 | |
dc.contributor.author | Jiao, Jianfang | |
dc.contributor.author | Wang, Hongwei | |
dc.contributor.author | Gao, Feng | |
dc.contributor.author | Coskun, Serdar | |
dc.contributor.author | Wang, Guang | |
dc.contributor.author | Xie, Jiale | |
dc.contributor.author | Feng, Fei | |
dc.date.accessioned | 2025-03-17T12:27:13Z | |
dc.date.available | 2025-03-17T12:27:13Z | |
dc.date.issued | 2025 | |
dc.department | Tarsus Üniversitesi | |
dc.description.abstract | 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 | |
dc.description.sponsorship | Natural Science Foundation of Hebei Province [F2023502011, E2023502026]; Chongqing Natural Science Foundation [CSTB2023NSCQ-MSX0359] | |
dc.description.sponsorship | This work was supported by the Natural Science Foundation of Hebei Province (Grant No. F2023502011 and E2023502026) , and the Chongqing Natural Science Foundation (Grant No. CSTB2023NSCQ-MSX0359) . | |
dc.identifier.doi | 10.1016/j.geits.2024.100182 | |
dc.identifier.issn | 2097-2512 | |
dc.identifier.issn | 2773-1537 | |
dc.identifier.issue | 2 | |
dc.identifier.scopus | 2-s2.0-85216924019 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.uri | https://doi.org/10.1016/j.geits.2024.100182 | |
dc.identifier.uri | https://hdl.handle.net/20.500.13099/2132 | |
dc.identifier.volume | 4 | |
dc.identifier.wos | WOS:001424889100001 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Elsevier | |
dc.relation.ispartof | Green Energy and Intelligent Transportation | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.snmz | KA_WOS_20250316 | |
dc.subject | Active equalization | |
dc.subject | Two-layer structure | |
dc.subject | Directed graph | |
dc.subject | Optimal matching | |
dc.subject | Fuzzy control | |
dc.title | Layered energy equalization structure for series battery pack based on multiple optimal matching | |
dc.type | Article |