High-speed Core Loss Base Data Collection for Core Loss Calculation Under Power Electronics Converter Excitation
High-speed Core Loss Base Data Collection for Core Loss Calculation Under Power Electronics Converter Excitation
复制标题
用于电力电子转换器励磁下磁芯损耗计算的高速磁芯损耗基础数据采集
DOI：
10.1541/ieejjia.20006557
复制
发表时间：
2020
影响因子：
1.7
通讯作者：
N. Matsui
中科院分区：
文献类型：
--
作者：
H. Matsumori;Toshihisa Shimizu;T. Kosaka;N. Matsui
电力电子变换器的铁损计算需要大量的铁损数据，包括矩形电压激励下的励磁频率、磁通密度涟漪、直流磁场偏置特性等。然而，在常规方法（采用具有斩波电路的B-H分析器）的情况下，需要非常长的时间来收集该铁损基础数据，因为对于每个测量点需要电路参数调谐。因此，我们提出了一种高速铁损基础数据采集方法，用于电力电子变换器励磁下的铁损计算。铁损基本数据收集时间大大减少后，使用的脉冲宽度调制（PWM）逆变器和神经网络，因为各种铁损特性表示的PWM逆变器的激励，这些铁损是学习的神经网络。将通过提出的方法和传统方法测量的铁损基础数据进行比较，以验证提出的方法的测量准确性，发现差异小于12%。因此，所提出的方法实现了高速铁损基础数据收集。
The calculation of core loss of power electronics converters requires a large number of core loss data, including the excitation frequency, flux density ripple, and DC magnetic field bias characteristic under rectangular voltage excitation. However, in the case of the conventional method (that employs a B-H analyzer with a chopper circuit), a very long time is required to collect this core loss base data, because circuit parameter tuning is needed for each measurement point. Therefore, we propose a high-speed core loss base data collection method for core loss calculation under power electronics converter excitation. The core loss base data collection time was substantially reduced upon usage of a pulse width modulated (PWM) inverter and a neural network because various core loss characteristics were expressed upon excitation of the PWM inverter, and these core losses were learned by the neural network. The core loss base data, as measured via the proposed and conventional methods, were compared to validate the measurement accuracy of the proposed method, and the di ff erence was found to be lesser than 12%. Thus, the proposed method achieves high-speed core loss base data collection.
影响因子：
7.7
作者：
Toshihisa Shimizu;S. Iyasu
通讯作者：
Toshihisa Shimizu;S. Iyasu
DOI：
--
发表时间：
2011
期刊：
影响因子：
--
作者：
H.Nakajima;H.Kumano;H.Iijima;I.Suemune;Masashi Sahashi;Hiroki. Kaihara
通讯作者：
Hiroki. Kaihara