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arXiv 2501.03028eess.SYcs.SYphysics.app-ph
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可重构电池系统最优控制的基本技术:系统建模与可行搜索空间构建

Fundamental Techniques for Optimal Control of Reconfigurable Battery Systems: System Modeling and Feasible Search Space Construction

Changyou Geng, Dezhi Ren, Enkai Mao, Changfu Zou, Mario Vašak, Xinyi Zheng, Weiji Han

AI总结:

本文提出统一建模框架和可行搜索空间构建方法,用于解决可重构电池系统优化控制问题,提升系统性能并减少搜索成本。

摘要:

可重构电池系统(RBSs)正成为提高故障容错性、充放电及热平衡、能量传输等性能的有希望的解决方案。为了优化这些性能指标,需要建立并求解高维非线性整数规划问题。为此,必须解决源于非线性电池特性、离散开关状态、动态系统配置以及大规模RBSs中固有维度灾难的几个关键挑战。因此,我们提出一个统一的建模框架,以适应RBS的各种可能配置,甚至涵盖不同的RBS设计及其混合组合,从而为RBS最优控制问题的建模提供便利,并促进RBS拓扑设计。进一步,为了解决所建立的RBS最优控制问题,搜索空间被缩小到仅包含可行解,从而确保电池连接的安全性,同时大幅减少搜索努力。这些提出的技术,专注于统一系统建模和缩小搜索空间,为有效建模和高效求解RBS最优控制问题奠定了坚实基础。所提出技术的准确性和有效性通过仿真和实验测试得到了验证。

英文摘要:

Reconfigurable battery systems (RBSs) are emerging as a promising solution to improving fault tolerance, charge and thermal balance, energy delivery, etc. To optimize these performance metrics of RBSs, high-dimensional nonlinear integer programming problems need to be formulated and solved. To accomplish this, it is necessary to address several critical challenges stemming from nonlinear battery characteristics, discrete switch states, dynamic system configurations, as well as the curse of dimensionality inherent in large-scale RBSs. Thus, we propose a unified modeling framework to accommodate various possible configurations of an RBS and even to cover different RBS designs and their hybrid combinations, enabling the problem formulation for the RBS optimal control and facilitating the RBS topology design.Further, to solve the formulated RBS optimal control problems, the search space is narrowed to encompass only the feasible solutions, thereby ensuring safe battery connections while substantially curtailing search efforts. These proposed techniques, focusing on unifying the system modeling and narrowing the search space, lay a solid foundation for effectively formulating and efficiently solving RBS optimal control problems. The accuracy and effectiveness of the proposed techniques are demonstrated by both simulation and experimental tests.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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