非正弦激励下铁心损耗计算模型改进

针对Bertotti损耗分离模型计算非正弦激励下铁心损耗不准确的问题,提出了将异常损耗表达为励磁频率与励磁强度函数的Barbisio算法.利用磁特性测量系统得到中频方波、正弦以及PWM电压激励下软磁铁氧体和纳米晶环形铁心损耗的数据,将异常损耗系数构造成频率和磁通密度的非线性函数.该模型计算了一台中频变压器在方波激励下的铁心损耗.仿真和实验结果表明,改进的损耗模型是有效的,与传统Barbisio算法比较,提出的方法更能准确地预估中频变压器铁心损耗.

Improvement of core loss calculation model under non-sinusoidal excitation

Aiming at the problem that the Bertotti loss separation model is not accurate when calculating core loss under non-sinusoidal excitation, a Barbisio algorithm was proposed in which the excess loss was expressed as the function of magnetizing frequency and strength. A magnetic property measurement system was used to obtain the iron loss data in soft magnetic ferrite and nanocrystalline toroidal cores under the excitation by medium frequency square wave, sinusoidal and PWM voltage, and the excess loss coefficient was constructed into a nonlinear function of frequency and magnetic flux density. The proposed model was employed to calculate the core loss in a medium frequency transformer under the square wave excitation. The simulated and experimental results show that the improved loss model is effective. Compared with the traditional Barbisio algorithm, the proposed method is more accurate in estimating the core loss in medium frequency transformers.