变电站用铅酸电池SOH估计

Estimation of SOH of lead-acid batteries in substation

变电站用铅酸蓄电池组在核容时的单体电压下降率与浮充时的内阻均值与铅酸电池组的健康状态(SOH)有明显关系。通过分析核容和浮充状态对SOH的影响权重大小,分别建立了浮充时内阻均值及核容时单体电压下降率与SOH的关系模型,从而提出了一种基于融合模型的变电站用铅酸电池SOH估计算法。该算法针对变电站用铅酸电池组实际工况设计,针对性强,并采用电池电压下降率表征核容过程对SOH的影响,采用内阻变化表征浮充过程对SOH的影响,适用于变电站用铅酸电池的全生命周期。最后通过加速寿命实验验证所提出的算法,实验结果表明,该算法能够很好地表征变电站用铅酸电池的衰减状态,估计精度高。

The average resistance of floating charge and the cell voltage drop rate of checking capacity had a significant relationship with the SOH. Two models were established to describe the change of SOH. One model described the relationship between the mean of resistance and SOH. The other described the drop rate of the cell voltage and SOH. According to this, a novel SOH estimation arithmetic was proposed. This algorithmic applied to the substations where the lead-acid battery pack was used. The process of estimation covered the whole lifetime of the lead-acid battery. An accelerated life test was used to verify the proposed arithmetic, and the experimental results show that the arithmetic works well in simulating the attenuation of the lead-acid battery, and the accuracy is high.