Estimation of Supercapacitor Charge Capacity Bounds Considering Charge Redistribution.

Estimation of Supercapacitor Charge Capacity Bounds Considering Charge Redistribution.
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DOI:
10.1109/tpel.2017.2764423
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发表时间:
2018-08
影响因子:
6.7
通讯作者:
Yang H
Yang H
中科院分区:
工程技术1区
文献类型:
--
作者:
Yang H

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本文通过实验估计了电荷边界,研究了电荷再分配对超级电容器电荷容量的影响。通过对一个基于物理的RC阶梯电路模型的分析,揭示了该模型的理论边界,并为计算边界的实验设计提供了指导。上界对应于长时间的恒压充电过程,下界是使用最大可能电流的充电过程建立的。估计了两种类型超级电容器充电容量的边界:在多次放电过程中可以释放的存储在超级电容器中的总电荷和在一次放电过程中释放的已利用电荷。研究了利用的充电容量与放电电流之间的关系,并根据超级电容器的充电状态(SOC)观察到不同的模式。对于充满电的超级电容器,放电电流越小,所利用的容量越大。对于由较大电流部分充电的超级电容器,所利用的容量既取决于放电电流,也取决于超级电容器的工作电压范围。对于两种类型的电荷容量,边界之间的差异是显著的。这些观察结果为优化不同应用的超级电容器充放电策略提供了指导。
This paper investigates the impact of charge redistribution on supercapacitor charge capacity by experimentally estimating the charge capacity bounds. An analysis of a physics-based RC ladder circuit model for supercapacitors reveals the theoretical bounds and provides guidelines for designing experiments to estimate the bounds. The upper bound corresponds to a long time constant voltage charging process and the lower bound is established using a charging process with the largest possible current. Bounds of two types of supercapacitor charge capacity are estimated: the total charge stored in the supercapacitor that can be released during multiple discharging processes and the utilized charge delivered during one discharging action. The relationship between the utilized charge capacity and the discharge current is examined and different patterns are observed depending on the supercapacitor state of charge (SOC). For a fully charged supercapacitor, the utilized capacity increases when the discharge current decreases. For a supercapaictor partially charged by a relatively large current, the utilized capacity is dependent on both the discharge current and the supercapacitor operation voltage range. The difference between the bounds is significant for both types of charge capacity. These observations provide guidelines for optimizing the supercapacitor charging and discharging policies for different applications.