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An Innovative Method for Thermal Characterization of Automotive Electronic Devices Based on CNNs

机译:基于CNN的汽车电子器件热特性的创新方法

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In this paper, a new approach for the thermal characterization of power electronic devices is introduced. The new method is based on cellular nonlinear networks (CNNs). By using the proposed technique, the thermal impedance of the device can be derived by processing a series of thermal maps, which can be acquired from a single experimental trial. In contrast, the most common technique (the delta drain–source voltage method) used for thermal characterization requires that the device is turned off after each single measure. The approach is validated on a power electronic device used in automotive applications, proving that the CNN-based method has an accuracy comparable with that of the delta drain–source voltage method but is more efficient in terms of time and human resources needed for device characterization.
机译:本文介绍了一种用于电力电子设备热特性的新方法。新方法基于蜂窝非线性网络(CNN)。通过使用提出的技术,可以通过处理一系列热图来得出设备的热阻,这些热图可以从单个实验中获得。相比之下,用于热特性分析的最常用技术(增量漏-源电压法)要求在每次测量后关闭设备。该方法已在汽车应用中使用的电力电子设备上得到验证,证明基于CNN的方法的精度可与增量漏极-源极电压方法相媲美,但在时间和设备表征所需的人力资源方面效率更高。

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