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An on-line tracking algorithm for Li-ion batteries' optimal charging frequency

机译:锂离子电池最佳充电频率的在线跟踪算法

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This paper proposes an online tracking algorithm to allocate and track the optimal charging frequency for lithium-ion (Li-ion) batteries in real time under any condition. The optimal frequency refers to the frequency of the sinusoidal component of the charging current at which the internal AC impedance of the battery cell is minimal. The AC impedance depends on the physical properties of the battery's electrodes and electrolyte. It also varies nonlinearly with temperature, state-of-charge (SOC) and state-of-health (SOH). Although the AC impedance can be determined offline using sophisticated AC cell models or measurement equipment, there is no direct way to measure it in real-time. The proposed technique has the capability of allocating and tracking the optimal frequency in real-time without using an AC battery model or measurement equipment. Moreover, the proposed technique is simple, inexpensive to implement, and applicable to any battery cell or pack. Derivation of the proposed technique followed by simulation verification is presented.
机译:本文提出了一种在线跟踪算法,可以在任何情况下实时分配和跟踪锂离子(Li-ion)电池的最佳充电频率。最佳频率是指充电电流的正弦分量频率,在该频率下,电池单元的内部AC阻抗最小。交流阻抗取决于电池电极和电解质的物理特性。它还随温度,荷电状态(SOC)和健康状态(SOH)非线性变化。尽管可以使用复杂的交流电池模型或测量设备离线确定交流阻抗,但没有直接方法可以实时测量交流阻抗。所提出的技术具有在不使用交流电池模型或测量设备的情况下实时分配和跟踪最佳频率的能力。而且,所提出的技术是简单的,实施成本低的并且可应用于任何电池单元或电池组。提出了所提出的技术,然后进行了仿真验证。

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