RAC+: Supporting Reconfiguration-Assisted Charging for Large-Scale Battery Systems

被引:0
作者
Kim, Kyunghoon [1 ]
Kwak, Jaeheon [2 ]
Lee, Jinkyu [1 ]
机构
[1] Sungkyunkwan Univ SKKU, Dept Comp Sci & Engn, Suwon 16419, South Korea
[2] Korea Adv Inst Sci & Technol, Sch Comp, Daejeon 34141, South Korea
基金
新加坡国家研究基金会;
关键词
Batteries; Resistors; Resistance; Voltage; State of charge; Lead; Informatics; Battery cell balancing; large-scale battery system; reconfiguration-assisted charging (RAC); ENERGY-STORAGE; ION BATTERIES; LITHIUM; ISSUES;
D O I
10.1109/TII.2024.3453373
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
-While most existing battery cell balancing approaches were posttreatment (i.e., handling diverse voltage levels originating from different battery cell status), a pretreatment approach, called reconfiguration-assisted charging (RAC), was developed, which dynamically attaches a proper number of resistor arrays to each group of battery cells with similar status, preventing battery cell imbalance; note that this pretreatment approach can be used orthogonally with existing posttreatment approaches such as active/passive balancing. Relaxing its impractical assumptions of RAC (e.g., all necessary resistor arrays are deployed in the target system), this article proposes RAC(+) , which realizes its practical and efficient use for the pretreatment concept of RAC. The experiment results demonstrate that RAC(+) achieves the same balancing performance as RAC while reducing the number of required resistors by 69% compared to RAC. . The extensive experiment results also show that RAC(+) is not only robust to various charging environments, but also proven to be effective in terms of minimizing power loss.
引用
收藏
页码:497 / 504
页数:8
相关论文
共 50 条
[1]   RAC: Reconfiguration-Assisted Charging in Large-Scale Lithium-Ion Battery Systems [J].
He, Liang ;
Kong, Linghe ;
Lin, Siyu ;
Ying, Shaodong ;
Gu, Yu ;
He, Tian ;
Liu, Cong .
IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (03) :1420-1429
[2]   A comparative overview of large-scale battery systems for electricity storage [J].
Poullikkas, Andreas .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 27 :778-788
[3]   New developments in battery safety for large-scale systems [J].
Joshua Lamb ;
Judith A. Jeevarajan .
MRS Bulletin, 2021, 46 :395-401
[4]   New developments in battery safety for large-scale systems [J].
Lamb, Joshua ;
Jeevarajan, Judith A. .
MRS BULLETIN, 2021, 46 (05) :395-401
[5]   A Review on Vanadium Redox Flow Battery Storage Systems for Large-Scale Power Systems Application [J].
Aluko, Anuoluwapo ;
Knight, Andy .
IEEE ACCESS, 2023, 11 :13773-13793
[6]   Optimal allocation of fast charging stations for large-scale transportation systems [J].
dos Santos, Caio ;
Andrade, Jose C. G. ;
Oliveira, Washington A. ;
Lyra, Christiano .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2024, 62 (14) :5087-5107
[7]   Data-selection for state estimation of large-scale battery systems [J].
Wang, Zhuo ;
Gladwin, Daniel T. ;
Smith, Matthew J. ;
Fantham, Thomas L. .
IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2021,
[8]   A triple-tiered modular equalizer for large-scale battery systems [J].
Liu, Hongrui ;
Yang, Xudong ;
Wei, Xiangyang ;
Zhang, Zhaohuai .
JOURNAL OF ENERGY STORAGE, 2024, 86
[9]   Scalable Optimal Power Management for Large-Scale Battery Energy Storage Systems [J].
Farakhor, Amir ;
Wu, Di ;
Wang, Yebin ;
Fang, Huazhen .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (03) :5002-5016
[10]   Diagnostic Cell for Large-Scale Battery Bank [J].
Liu, Alex Chun-For ;
Chung, Henry Shu-Hung ;
Wang, Wenguan ;
Lau, Ricky Wing-Hong ;
Zhang, Jun .
2017 THIRTY SECOND ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC), 2017, :993-1000