To solve the problem of inconsistency in the characteristics(or parameters)of cells in a series-connected lithium-ion battery pack
a lithium-ion battery pack equalization strategy using an improved matrix-type reconfigurable topology is proposed in this paper. The strategy takes the state of charge(SOC)of each cell in the battery pack as the equalization target parameter
and uses the switching matrix to control the switching of battery groups between series and parallel topologies and realize the equalization between battery cells and battery groups
and accelerates the equalization speed by isolating the cell or battery group with the lowest SOC. Simulation results using MATLAB/Simulink and comparison with the original matrix reconfigurable equalization strategy show that
compared with the original matrix reconfigurable equalization strategy
the improved strategy can improve the equalization speed by 13.1%
27.1% and 30.1% under the loads of 10
20 and 40 W
respectively. Taking the switch on-resistance into consideration
the improved strategy proposed accelerates the equalization process through the voltage difference caused by the SOC difference at the later stage of the equalization process
and can still effectively equalize the battery pack when the on-resistance is high
which effectively avoids the defects that the equalization effect of the original matrix-type reconfigurable equalization strategy deteriorates or even fails with the increase of on-resistance
and achieves the equalization target successfully. This proves that the improved matrix-type equalization strategy proposed has a better equalization effect compared with the original matrix-type equalization strategy.
YU Zhongan, XIONG Yingyan. Research on hierarchical active equalization of series lithium batteries [J]. Chinese Journal of Power Sources, 2022, 46(5): 528-531.
JIA Chenyu, TIAN Yukai, SHI Yuanhao, et al. State of health prediction of lithium-ion batteries based on bidirectional gated recurrent unit and transformer [J]. Energy, 2023, 285: 129401.
ZHOU Long, LAI Xin, LI Bin, et al. State estimation models of lithium-ion batteries for battery management system: status, challenges, and future trends [J]. Batteries, 2023, 9(2): 131.
HU Weifeng, PENG Simin, XU Zheng, et al. Multi-constrained dynamic power estimation of battery system in series connection considering cell inconsistency [J]. Electric Drive for Locomotives,2022(3): 82-88.
GAO Xin, WANG Ruogu, GAO Wenjing, et al. Consistency evaluation method of battery pack in energy storage power station based on running data [J]. Energy Storage Science and Technology, 2023, 12(9): 2937-2945.
TIAN Jiaqiang, LIU Xinghua, CHEN Chaobo, et al. Feature fusion-based inconsistency evaluation for battery pack: improved Gaussian mixture model [J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(1): 446-458.
YANG Chaofan, WANG Xueyuan, FANG Qiaohua, et al. An online SOC and capacity estimation method for aged lithium-ion battery pack considering cell inconsistency [J]. Journal of Energy Storage, 2020, 29: 101250.
WANG Keyong. Overview of thermal management systems for electric vehicle lithium-ion batteries [J]. The Journal of New Industrialization, 2022, 12(8): 18-21.
SHI Rui, ZHANG Xinyan, LIU Shasha, et al. Co-control strategy of distributed battery energy storage system based on SOC equalization [J]. Acta Energiae Solaris Sinica, 2023, 44(9): 546-552.
ZHAO Yingying, ZHAO Huiyong. Electric car battery system active equalization control strategy [J]. Tractor Farm Transporter, 2023, 50(3): 29-35.
FAN Tiane, LIU Songming, YANG Hao, et al. A fast active balancing strategy based on model predictive control for lithium-ion battery packs [J]. Energy, 2023, 279: 128028.
ZHENG Zheng, WANG Xiaoshuai, LI Bin, et al. New equalization topology for battery packs based on three-winding transformer [J]. Acta Energiae Solaris Sinica, 2023, 44(9): 518-526.
XU Shujuan, SUN Zhenbao. Research on balance control strategy of lithium-ion battery energy storage system [J]. International Journal of Low-Carbon Technologies, 2022, 17: 1145-1150.
SHANG Yunlong, CUI Naxin, DUAN Bin, et al. Analysis and optimization of star-structured switched-capacitor equalizers for series-connected battery strings [J]. IEEE Transactions on Power Electronics, 2018, 33(11): 9631-9646.
LI Xiaolong, XU Shungang, XU Jianping, et al. Single-inductor bidirectional battery equalizer [J]. Electric Machines and Control, 2019, 23(4): 90-97.
FAN Shaogui, DUAN Jiandong, SUN Li, et al. A fast modularized multiwinding transformer balancing topology for series-connected super capacitors [J]. IEEE Transactions on Power Electronics, 2019, 34(4): 3255-3268.
WANG Jin, WANG Wenbin. Multi-cell active equalization technology based on DC/DC bidirectional converter [J]. Electric Machines Control Application, 2022, 49(10): 40-45.
FAN Yuanliang, WANG Yule, ZHOU Gang, et al. A novel circuit for reducing equalizing currents in reconfigurable battery packs [C]//2020 8th International Conference on Power Electronics Systems and Applications(PESA).Piscataway, NJ, USA: IEEE, 2020: 1-5.
CI Song, LIN Ni, WU Dalei. Reconfigurable battery techniques and systems: a survey [J]. IEEE Access, 2016, 4: 1175-1189.
DING Xiaofeng, ZHANG Donghuai. A novel active equalization topology for series-connected lithium-ion battery packs [C]//2018 IEEE Energy Conversion Congress and Exposition(ECCE). Piscataway, NJ, USA: IEEE, 2018: 2753-2758.
KIM H, SHIN K G. DESA: dependable, efficient, scalable architecture for management of large-scale batteries [J]. IEEE Transactions on Industrial Informatics, 2012, 8(2): 406-417.
SHAN Zhifei, DAI Shuailong, WEI Yewen, et al. Analysis and design of multilayer multiphase interleaved converter for battery pack equalization based on graph theory [J]. International Journal of Energy Research, 2020, 44(4): 2580-2593.
WANG Xiaoqian, DUAN Bin, SHANG Yunlong, et al. Fast equalization for lithium ion battery packs based on reconfigurable battery structure [C]//2020 IEEE/IAS Industrial and Commercial Power System Asia(ICPS Asia). Piscataway, NJ, USA: IEEE, 2020: 1149-1154.
MING Yuanshan, HU Huihui, LIU Kaixuan, et al. Research on SOC balance control strategy of energy storage unit in DC microgrid in island mode [J]. Journal of Electric Power Science and Technology, 2023, 38(4): 57-64.
LI Lingfeng, GONG Minghui, WU Jiang. Joint estimation algorithm for state of charge of li-ion battery with multi-mode model [J]. Journal of Xi'an Jiaotong University, 2021, 55(1): 78-85.
Multimodal Neural Network-Based Temperature Prediction Method for Lithium-Ion Batteries Under Mechanical Abuse Scenarios
Research on AC Heating Strategy for Electric Vehicle Traction Batteries over the Full Life Cycle
A Cloud-Edge Collaborative State of Charge Estimation Method for Lithium-Ion Batteries in Mining Environments Integrating Deep Learning and Ampere-Hour Integration
Study on Electrothermal Characteristics of Dendrite-Induced Internal Short Circuit in Lithium-Ion Batteries
Deep Learning-Based State-of-Charge Estimation for Lithium-Ion Batteries Across the Entire Life Cycle
Related Author
LI Jie
LI Qian
QIN Zhengpeng
HUANG Xinrong
ZHENG Dongbin
LI Kuining
SANG Yanjie
XIE Yi
Related Institution
School of Energy and Electrical Engineering, Chang'an University
School of Control Science and Engineering, Shandong University
College of Mechanical and Vehicle Engineering, Chongqing University
School of Energy and Power Engineering, Chongqing University
Key Laboratory of Low-Grade Energy Utilization Technologies and Systems of Ministry of Education, Chongqing University