From Battery Cell to Electrodes: Real-Time Estimation of Charge and Health of Individual Battery Electrodes
From Battery Cell to Electrodes: Real-Time Estimation of Charge and Health of Individual Battery Electrodes
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DOI：
10.1109/tie.2019.2907514
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发表时间：
2020-03
影响因子：
7.7
通讯作者：
Satadru Dey;Ying Shi;K. Smith;Andrew M. Colclasure;Xuemin Li
中科院分区：
文献类型：
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作者：
Satadru Dey;Ying Shi;K. Smith;Andrew M. Colclasure;Xuemin Li
电池内部变量的准确信息对于健康意识和最佳电池管理至关重要。由于缺乏测量，先进的电池管理系统严重依赖于提供这种内部信息的估计算法。尽管在文献中已经广泛地探索了用于电池水平电荷和健康估计的算法，但是用于电极水平量的算法几乎不存在。电极电平估计的主要障碍是可观测性问题，其中单个电极状态不能从端电压输出中观测到。然而，如果可用的话，电极级充电和健康的实时反馈可以在最大化能量利用和电池寿命方面非常有益。出于这种情况下，在本文中，我们提出了一种实时算法，估计可用的电荷和健康的个别电极。我们规避上述可观性问题，提出了一个不确定的基于模型的级联估计框架。所提出的方案的设计和分析的辅助相结合的李雅普诺夫的稳定性理论，自适应观测器理论，和互联系统理论。最后，我们通过大量的仿真和实验研究来说明估计方案的有效性。
Accurate information of battery internal variables is crucial for health-conscious and optimal battery management. Due to lack of measurements, advanced battery management systems rely heavily on estimation algorithms that provide such internal information. Although algorithms for cell-level charge and health estimation have been widely explored in the literature, algorithms for electrode-level quantities are almost nonexistent. The main obstacle in electrode-level estimation is the observability problem where the individual electrode states are not observable from terminal voltage output. However, if available, real-time feedback of electrode-level charge and health can be highly beneficial in maximizing energy utilization and battery life. Motivated by this scenario, in this paper we propose a real-time algorithm that estimates the available charge and health of individual electrodes. We circumvent the aforementioned observability problem by proposing an uncertain model-based cascaded estimation framework. The design and analysis of the proposed scheme are aided by a combination of Lyapunov's stability theory, adaptive observer theory, and interconnected systems theory. Finally, we illustrate the effectiveness of the estimation scheme by performing extensive simulation and experimental studies.