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An Adaptive Estimation Scheme for Open-Circuit Voltage of Power Lithium-Ion Battery

机译:电力锂离子电池开路电压的自适应估计方案

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Open-circuit voltage (OCV) is one of the most important parameters in determining state of charge (SoC) of power battery. The direct measurement of it is costly and time consuming. This paper describes an adaptive scheme that can be used to derive OCV of the power battery. The scheme only uses the measurable input (terminal current) and the measurable output (terminal voltage) signals of the battery system and is simple enough to enable online implement. Firstly an equivalent circuit model is employed to describe the polarization characteristic and the dynamic behavior of the lithium-ion battery; the state-space representation of the electrical performance for the battery is obtained based on the equivalent circuit model. Then the implementation procedure of the adaptive scheme is given; also the asymptotic convergence of the observer error and the boundedness of all the parameter estimates are proven. Finally, experiments are carried out, and the effectiveness of the adaptive estimation scheme is validated by the experimental results.
机译:开路电压(OCV)是确定电力电池的充电状态(SOC)中最重要的参数之一。直接测量它的昂贵且耗时。本文介绍了一种适应方案,可用于导出电力电池的OCV。该方案仅使用电池系统的可测量输入(端子电流)和可测量的输出(端子电压)信号,并且简单足以实现在线实现。首先,采用等效电路模型来描述锂离子电池的偏振特性和动态行为;基于等效电路模型获得电池电气性能的状态空间表示。然后给出自适应方案的实施过程;此外,观察者误差的渐近收敛也是证明了所有参数估计的偏向。最后,进行实验,通过实验结果验证了自适应估计方案的有效性。

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