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Hierarchical Structure-Based Wireless Active Balancing System for Power Batteries

Jia Xie, Huipin Lin (), Jifeng Qu, Luhong Shi, Zuhong Chen, Sheng Chen and Yong Zheng
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Jia Xie: School of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou 310005, China
Huipin Lin: School of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou 310005, China
Jifeng Qu: School of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou 310005, China
Luhong Shi: Zhejiang Kangli Automation Technology Co., Ltd., Shaoxing 312500, China
Zuhong Chen: Zhejiang Kangli Automation Technology Co., Ltd., Shaoxing 312500, China
Sheng Chen: Zhejiang Jingsheng Microelectronics Co., Ltd., Shaoxing 312300, China
Yong Zheng: Zhejiang Jingsheng Microelectronics Co., Ltd., Shaoxing 312300, China

Energies, 2024, vol. 17, issue 18, 1-32

Abstract: This paper conducts an in-depth study of a wireless, hierarchical structure-based active balancing system for power batteries, aimed at addressing the rapid advancements in battery technology within the electric vehicle industry. The system is designed to enhance energy density and the reliability of the battery system, developing a balancing system capable of managing cells with significant disparities in characteristics, which is crucial for extending the lifespan of lithium-ion battery packs. The proposed system integrates wireless self-networking technology into the battery management system and adopts a more efficient active balancing approach, replacing traditional passive energy-consuming methods. In its design, inter-group balancing at the upper layer is achieved through a soft-switching LLC resonant converter, while intra-group balancing among individual cells at the lower layer is managed by an active balancing control IC and a bidirectional buck–boost converter. This configuration not only ensures precise control but also significantly enhances the speed and efficiency of balancing, effectively addressing the heat issues caused by energy dissipation. Key technologies involved include lithium-ion batteries, battery management systems, battery balancing systems, LLC resonant converters, and wireless self-networking technology. Tests have shown that this system not only reduces energy consumption but also significantly improves energy transfer efficiency and the overall balance of the battery pack, thereby extending battery life and optimizing vehicle performance, ensuring a safer and more reliable operation of electric vehicle battery systems.

Keywords: lithium-ion battery; battery management system; battery balancing system; LLC resonant converter; wireless self-organizing network technology (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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