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Online Internal Impedance Measurements of Li-ion Battery Using PRBS Broadband Excitation and Fourier Techniques: Methods and Injection Design

机译:使用PRBS宽带激励和傅里叶技术的锂离子电池在线内部阻抗测量:方法和注入设计

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摘要

The internal impedance of a battery has been shown to vary as a function of state-of-charge (SOC) and state-of-health (SOH) which are important parameters defining the battery conditions in Li-Ion batteries. Therefore, the online monitoring of the internal impedance can be used as a useful SOC- and SOH-estimation parameter in battery management systems. Recent studies have shown methods based on broadband injections which make it possible to perform rapid Li-Ion battery impedance measurements. The studies have not, however, fully considered the properties of the applied injections nor the applied computation methods. This work extends the studies, and presents systematic steps for designing an excitation signal for battery internal impedance measurements. A pseudo-random binary sequence (PRBS) is applied and the internal impedance is obtained through Fourier techniques. The presented methods can be used for rapid and accurate impedance measurements, and thus, as a valuable online tool in SOC- and SOH-estimation algorithms. Practical measurements are shown from a commercial nickel-manganese-cobalt (NMC) Li-Ion battery.
机译:电池的内部阻抗已显示为荷电状态(SOC)和健康状态(SOH)的函数,荷电状态是定义锂离子电池中电池条件的重要参数。因此,内部阻抗的在线监控可用作电池管理系统中有用的SOC和SOH估计参数。最近的研究表明,基于宽带注入的方法可以进行快速的锂离子电池阻抗测量。但是,研究尚未充分考虑所应用的注射剂的性质或所应用的计算方法。这项工作扩展了研究范围,并提出了用于设计用于电池内部阻抗测量的激励信号的系统步骤。应用伪随机二进制序列(PRBS),并通过傅立叶技术获得内部阻抗。提出的方法可用于快速,准确的阻抗测量,因此,可作为SOC和SOH估计算法中的宝贵在线工具。实际测量结果显示于商用镍锰钴(NMC)锂离子电池中。

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