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Abnormal overheating detectability analysis based on cross Gramian for a supercapacitors string

机译:基于交叉革兰式的超级电容器串异常过热检测能力分析。

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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 “naïve” 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:基于模型的温度估算已被广泛研究并应用于许多应用中,包括用于功率/能量存储应用,例如电池或超级电容器(SC)。本文研究了温度监控和诊断系统中传感器的位置,不仅涉及正常状态下的状态估计,还涉及异常过热检测。异常过热被建模为未知的额外干扰。基于交叉Gramian矩阵的几种措施被用作针对过热检测能力的最佳传感器放置的基础,并且从不同的过热模拟场景中评估了放置选择。还包括“天真”的传感器放置位置,可以直观地沿线均匀分布地放置传感器,以确认基于交叉Gramian度量的传感器放置的有用性。

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