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

机译:锂离子电池最优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,在任何条件下实时地分配和跟踪锂离子(Li离子)电池的最佳充电频率。最佳频率是指电池单元的内部AC阻抗的充电电流的正弦分量的频率。 AC阻抗取决于电池电极和电解质的物理性质。它也因温度,充电(SoC)和健康状态(SOH)而异。虽然可以使用复杂的AC电池模型或测量设备离线确定AC阻抗,但没有直接方法实时测量。所提出的技术具有实时分配和跟踪最佳频率的能力,而无需使用AC电池模型或测量设备。此外,所提出的技术可以简单,实现,并且适用于任何电池单元或包装。提出了所提出的技术的推导,然后进行仿真验证。

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