High-frequency transformer winding loss semi-empirical calculation method considering end effect
A high-frequency transformer and winding loss technology, applied in the field of transformers, can solve the problems of not given winding loss calculation method, complex formula structure, unclear physical meaning, etc. Effect
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Embodiment 1
[0045] Such as Figure 1-2 As shown, the semi-empirical calculation method of high-frequency transformer winding loss using foil winding and considering the end effect, including the step of receiving,
[0046] Step 1: Screen the decisive influencing factors of AC resistivity according to the geometric structure of the transformer;
[0047] Step 2: Combine the decisive influencing factors of the AC resistivity and perform dimensionless processing to determine the reasonable change interval of each dimensionless parameter;
[0048] Step 3: Establish a parametric finite element simulation model of the high-frequency transformer, and calculate the AC resistance coefficient under the combination of different dimensional parameters;
[0049] Step 4: Select the fitting function, perform multivariate regression analysis, and calculate the correction coefficient P ij , Q ij 、J ij , get the semi-empirical formula;
[0050] Step 4.1: Select the expression of the basic fitting functio...
Embodiment 2
[0092] Such as figure 1 As shown, the semi-empirical calculation method of high-frequency transformer winding loss using solid circular wire winding and considering the end effect, including the step of receiving,
[0093] Step 1: Screen the decisive influencing factors of AC resistivity according to the geometric structure of the transformer;
[0094] Step 2: Combine the decisive influencing factors of the AC resistivity, and perform dimensionless processing to determine the reasonable change interval of each dimensionless parameter;
[0095] Step 3: Establish a parametric finite element simulation model of the high-frequency transformer, and calculate the AC resistance coefficient under the combination of different dimensional parameters;
[0096] Step 4: Select the fitting function, conduct multivariate regression analysis, calculate the correction coefficient, and obtain the semi-empirical formula.
[0097] In step 2, the dimensionless parameter includes 5 dimensionless ...
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