Module-Based Active Equalization for Battery Packs: A Two-Layer Model Predictive Control Strategy

均衡(音频) 电池组 模型预测控制 计算机科学 电池(电) 模块化设计 荷电状态 图层(电子) 控制理论(社会学) 理论(学习稳定性) 控制(管理) 算法 功率(物理) 机器学习 物理 人工智能 操作系统 有机化学 化学 量子力学 解码方法
作者
Quan Ouyang,Youmin Zhang,Nourallah Ghaeminezhad,Jian Chen,Zhisheng Wang,Xiao Hu,Jiacheng Li
出处
期刊:IEEE Transactions on Transportation Electrification 卷期号:8 (1): 149-159 被引量:51
标识
DOI:10.1109/tte.2021.3095497
摘要

High-performance and safe operation of a serially connected lithium-ion battery pack in the electric vehicle necessitates effective cell equalization to maintain the state-of-charge of each cell at the same level. In this work, an improved module-based cell-to-pack-to-cell (CPC) equalization system is developed, where the module-level (ML)/cell-to-module-to-cell (CMC) equalizers are utilized for equalization of the battery modules/cells in each module. Compared with the conventional CPC balancing system, it has the advantages of simple modular structure and convenient maintainability. Then, a two-layer model predictive control (MPC) strategy is proposed, in which the ML equalizers are controlled by the top-layer MPC and the controlled CMC equalizing currents in each module are designed by the bottom-layer MPC algorithms in parallel. Its computational complexity is much less than the centralized MPC, which makes it more feasible for real-time cell equalization implementation in practical applications. A rigorous mathematical convergence proof of the proposed equalization control strategy is provided based on the Lyapunov stability theorem. Finally, extensive results are provided to verify the proposed improved module-based CPC equalization system and the two-layer MPC-based equalization control approach with excellent equalization performance being demonstrated.
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