利用反激式转换器对磷酸铁锂电池的热平衡和充电状态平衡进行基于有限状态机的控制设计

Asal Zabetian-Hosseini, Amin Ghazanfari, Benoit Boulet
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引用次数: 0

摘要

电池单元平衡在通过提高电池系统容量和延长电池系统预期寿命来最大限度地提高电池系统性能方面发挥着至关重要的作用。使用功率转换器进行有源电池单元平衡是一种很有前途的方法,可保持电池单元的统一电荷状态(SoC)和温度。电池管理系统 (BMS) 中的 SoC 平衡功能可提高电池组容量,而温度平衡功能则可减轻电池单元因温度不平衡而产生的老化变化。本研究提出了一种基于有限状态机的控制设计,用于利用反激式转换器平衡磷酸铁锂(LFP)电池串联的 SoC 和温度。该设计的主要目标是确保在充电过程结束时实现 SoC 平衡,同时缓解充电过程中的温度不平衡。为了使用相同的平衡电路实现 SoC 和温度平衡功能,有限状态机控制设计决定了工作模式,而平衡策略则根据工作模式平衡温度或 SoC。与文献中基于优化的控制器相比,所提出的控制设计具有计算负担小、实施简单等优点,而且与传统方法相比,所提出的平衡策略具有更快的平衡速度。我们在不平衡 SoC 和温度的串联电池单元 RC 模型上验证了所提策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A finite-state machine-based control design for thermal and state-of-charge balancing of lithium iron phosphate battery using flyback converters

A finite-state machine-based control design for thermal and state-of-charge balancing of lithium iron phosphate battery using flyback converters

Battery cell balancing plays a vital role in maximizing the performance of the battery system by enhancing battery system capacity and prolonging the battery system life expectancy. Active cell balancing using power converters is a promising approach to maintaining uniform state of charges (SoCs) and temperatures across battery cells. The SoC balancing function in the battery management system (BMS) increases the battery pack capacity, and the temperature balancing function mitigates variations in the aging of battery cells due to unbalanced temperatures. In this work, a finite-state machine-based control design is proposed for lithium iron phosphate (LFP) battery cells in series to balance SoCs and temperatures using flyback converters. The primary objective of this design is to ensure balanced SoCs by the end of the charging session while mitigating the temperature imbalance during the charging process. To achieve the SoC and temperature balancing functions using the same balancing circuits, a finite-state machine control design decides on the operating mode, and a balancing strategy balances either temperature or SoC depending on the operating mode. The proposed control design has the advantages of low computational burden, simple implementation compared to the optimization-based controller found in the literature, and the proposed balancing strategy offers faster balancing speed compared to conventional methods. The effectiveness of the proposed strategy is validated on battery cell RC models in series with unbalanced SoCs and temperatures.

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