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Accurate voltage equalization of supercapacitors with online identification model

机译:带有在线识别模型的超级电容器的精确电压均衡

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Voltage equalization scheme is used to solve the voltage imbalance problem between serial connected supercapacitors. The inner capacitor voltage instead of terminal voltage based balancing scheme has been proven to be more accurate. The inner capacitor voltage are traditionally deduced through offline identified model parameters, which are variable due to the effect of terminal voltage, interference, and temperature, which will cause undesirable balancing deviation. To address the problem, we propose an online identified model based voltage equalization scheme to improve the equalization accuracy. The scheme is achieved by identifying model parameters through recursive-least square (RLS) technique, which has the advantage of simplicity, easy practicability. Experimental results are given to verify the effectiveness and high accuracy of the proposed cell balancing method.
机译:电压均衡方案用于解决串联超级电容器之间的电压不平衡问题。事实证明,内部电容器电压而不是基于端子电压的平衡方案更加准确。传统上,内部电容器电压是通过离线识别的模型参数推导出的,这些参数会因端子电压,干扰和温度的影响而变化,这将导致不期望的平衡偏差。为了解决该问题,我们提出了一种基于在线识别的基于模型的电压均衡方案,以提高均衡精度。该方案是通过递推最小二乘(RLS)技术识别模型参数来实现的,具有简单,实用的优点。实验结果证明了所提电池平衡方法的有效性和较高的准确性。

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