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Decentralized Non-Neighbor Active Charge Balancing in Large Battery Packs

机译:大型电池组中的分散式非邻居有效电荷平衡

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Recently, active charge balancing of the cells in battery packs has been gaining importance over state-of-the-art passive balancing solutions. The main advantage of active balancing lies in the ability to transfer charge between cells rather than dissipating it thermally. This enhances the overall efficiency and energy output of battery packs. In this paper, we develop a new class of strategies for decentralized operation of charge transfers between non-neighboring cells using appropriate balancing hardware architectures. While the benefits of the active balancing approach with a centralized controller have been discussed in literature extensively, the implementation of adequate strategies for scheduling charge transfers in decentralized battery management systems, which promise to be more robust and modular, have not been studied sufficiently so far. Furthermore, existing decentralized strategies only deal with charge transfers between neighboring cells. In order to compare our novel distributed non-neighbor balancing strategies to existing neighbor-only balancing strategies, we implement them in an open-source simulation framework for decentralized battery management systems. Our results show that we are able to improve the two most important metrics of balancing time and losses by up to 63 % and 51 %, respectively.
机译:最近,电池组中的电池的主动充电平衡一直在最先进的被动平衡解决方案的重要性。主动平衡的主要优点在于在电池之间传递电荷而不是热量散发。这提高了电池组的整体效率和能量输出。在本文中,我们使用适当的平衡硬件架构开发了非相邻小区之间的电荷转移的分散操作的新阶段策略。虽然在文献中,广泛地讨论了具有集中控制器的主动平衡方法的好处,但是在分散的电池管理系统中实施适当的调度电荷转移的策略,这承诺更加坚固和模块化,尚未足够地研究。此外,现有的分散策略仅处理邻近细胞之间的电荷转移。为了将我们的小型分布式非邻居平衡策略与现有的邻居平衡策略进行比较,我们在分散电池管理系统的开源仿真框架中实现它们。我们的研究结果表明,我们能够将平衡时间和损失的两个最重要的指标分别提高至63%和51%。

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