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State of Charge Estimation of Vanadium Redox Flow Battery Based on Sliding Mode Observer and Dynamic Model Including Capacity Fading Factor

机译:基于滑模观测器和包含容量衰减因子的动态模型的钒氧化还原液流电池充电状态估计

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摘要

State of charge (SOC) of the batteries is a key indicator for battery monitoring and control. Long-term operation of vanadium redox flow batteries may cause ion diffusions across the membrane and the depletion of active materials, which will lead to capacity fading and increase in internal resistance. In previous studies, the capacity fading factor is not considered when designing the SOC estimation observer. This will cause a large error of SOC estimation if the capacity fading is significant. Thus, a selection of an adaptive SOC estimation method considering capacity fading factor is critical. In this paper, an adaptive observer-sliding mode observer-capable of monitoring SOC considering capacity factor is proposed based on a nonlinear electrical model. The observer is designed to adjust the capacity based on the decaying factor and compensate the error caused by the electrical model. A root mean square error of 0.013 V between the measured terminal voltage and estimated voltage is observed while a root mean square error of 0.12 V with the modeled voltage. The mean error between the observed and the modeled capacities is 0.14 Ah. The proposed method shows that the sliding mode observer could accurately estimate SOC with capacity fading.
机译:电池的充电状态(SOC)是电池监视和控制的关键指标。钒氧化还原液流电池的长期使用可能会导致离子在整个膜上扩散以及活性物质耗尽,这将导致容量衰减和内部电阻增加。在以前的研究中,设计SOC估计观测器时未考虑容量衰减因子。如果容量衰减明显,这将导致SOC估计的较大误差。因此,考虑容量衰减因子的自适应SOC估计方法的选择至关重要。本文提出了一种基于非线性电气模型的能够考虑容量因子的SOC自适应观测器滑模观测器。观察者可根据衰减因子来调整容量,并补偿由电气模型引起的误差。观察到端子电压和估计电压之间的均方根误差为0.013 V,而建模电压的均方根误差为0.12V。观察到的容量与建模容量之间的平均误差为0.14 Ah。所提出的方法表明,滑模观测器可以随着容量衰减而准确地估计SOC。

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  • 来源
    《Sustainable Energy, IEEE Transactions on》 |2017年第4期|1658-1667|共10页
  • 作者单位

    EXQUISITUS, Center for E-City, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;

    EXQUISITUS, Center for E-City, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;

    School of Automation, Wuhan University of Technology, Wuhan, China;

    EXQUISITUS, Center for E-City, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;

    School of Chemical Engineering, University of New South Wales, Sydney, N.S.W., Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    State of charge; Batteries; Observers; Vanadium;

    机译:充电状态电池观察者钒;

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