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Abnormal Overheating Detectability Analysis Based on Cross Gramian for a Supercapacitors String

机译:基于SuperCapacitors字符串交叉克拉姆的异常过热可检测分析

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Model-based temperature estimation has been widely studied and applied in many applications, including for power/energy storage applications such as batteries or supercapacitors (SCs). In this paper, sensors placement for a temperature monitoring and diagnostic system is studied, with respect not only to the state estimation during normal condition but also abnormal overheating detection. The abnormal overheating is modelled as an unknown additional disturbance. Several measures based on the cross Gramian matrix are used as the basis for the optimal sensors placement for the overheating detectability, and the placement selection is evaluated from different overheating simulation scenarios. A "naive" sensor placement which intuitively places the sensors in an evenly distributed manner along the string is also included to confirm the usefulness of the cross Gramian measure-based sensors placement.
机译:基于模型的温度估计已被广泛研究和应用于许多应用,包括用于电源/能量存储应用,例如电池或超级电容器(SCS)。在本文中,研究了温度监测和诊断系统的传感器,相对于正常情况下的状态估计,而且异常过热检测。异常过热被建模为未知的额外干扰。基于交叉克拉伯矩阵的几个措施用作优化传感器放置过热可检测性的基础,并且从不同的过热仿真方案评估放置选择。还包括直观地将传感器直观地放置传感器,以沿着串以均匀分布的方式放置传感器,以确认基于交叉克拉姆的措施的传感器的放置的有用性。

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