Research on Active Equalization of Energy Storage Lithium Batteries under a Modular Layered Architecture for Smart Grid Applications

Authors

  • Qingdong Luo Yiwu Industrial and Commercial College https://orcid.org/0000-0001-9609-2525
  • Xiyuan Wan Yiwu Industrial and Commercial College
  • Qiangwei Liu Ningbo Henghui Electrical Co., Ltd.
  • Jingjing Lou Yiwu Industrial and Commercial College
  • Zhikang Jin Yiwu Industrial and Commercial College
  • Chaoqun Jin Yiwu Industrial and Commercial College
  • Pengfei Zhen Taizhou Vocational and Technical College image/svg+xml

DOI:

https://doi.org/10.4108/ew.11711

Keywords:

Energy storage lithium battery, State of charge (SOC), Active equalization, Hierarchical equalization circuit, Fuzzy control

Abstract

INTRODUCTION: In smart grid applications, energy storage systems (ESS) are critical for balancing power supply and demand, but they often suffer from performance degradation due to State of Charge (SOC) inconsistencies in series-configured lithium battery packs. These disparities can compromise grid stability and battery lifespan.

OBJECTIVES: This study proposes an active equalization method based on a novel modular layered architecture for ESS in smart grids. The core innovation lies in the synergistic combination of a hierarchical bidirectional Buck-Boost topology and a multivariable fusion fuzzy logic control strategy, aiming to enhance battery consistency, efficiency, and reliability for grid support.

METHODS: A hierarchical BUCK-BOOST-based circuit is designed to enable bidirectional energy transfer, incorporating a multivariable fuzzy controller for real-time regulation of balancing currents. This approach facilitates cooperative equalization within and between battery groups, optimizing energy flow.

RESULTS: Simulations based on an eight-cell model in Matlab/Simulink demonstrate that the proposed hierarchical topology reduces equalization time by 11.53% compared to the conventional single-layer topology. Furthermore, with the proposed multivariable fusion fuzzy logic control algorithm, the equalization time is further reduced by 26%, significantly improving both the equalization speed and adaptability to dynamic grid conditions.

CONCLUSION: The proposed strategy effectively mitigates battery inconsistencies, enhancing the overall performance and safety of energy storage systems in practical applications. It provides a reliable technical approach for battery management in smart grids.

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Published

07-05-2026

Issue

Section

AI-Powered Hybrid Energy Storage Optimization for Grid Cost-Efficiency and Stability

How to Cite

1.
Luo Q, Wan X, Liu Q, Lou J, Jin Z, Jin C, et al. Research on Active Equalization of Energy Storage Lithium Batteries under a Modular Layered Architecture for Smart Grid Applications. EAI Endorsed Trans Energy Web [Internet]. 2026 May 7 [cited 2026 May 7];13. Available from: https://publications.eai.eu/index.php/ew/article/view/11711