An Accurate Analytical Method for Leakage Inductance Calculation of Shell-type Transformers with Rectangular Windings
2021 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 9, p. 72647-72660Article in journal (Refereed) Published
Abstract [en]
This paper presents an accurate analytical method for calculating the leakage inductance of shell-type E-core transformers with rectangular windings. For this purpose, first, an expression for calculating the leakage inductance per unit length inside the core window considering the core walls as the flux-normal boundary condition is derived. Then, a new accurate method for determining the Mean Length of Turns (MLT) based on the total stored energy is presented. The MLT is needed for the leakage inductance calculation using 2-D methods. By dividing the MLT into three partial lengths and calculating the corresponding leakage inductances using three different core window arrangements, the effect of core structure on the total leakage inductance is considered. The method is verified by 3-D FEM simulations as well as the leakage inductance measurements on two different fabricated transformer prototypes. The superiority of the method is also confirmed by comparisons with the previous analytical approaches. The proposed method enables the leakage inductance calculation with an error less than 1%, compared to the 3-D FEM results. Using the presented method, the leakage inductance calculations can be performed rapidly and accurately in the design stage without the need for time-consuming 3-D FEM simulations. CCBYNCND
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021. Vol. 9, p. 72647-72660
Keywords [en]
Boundary conditions, Finite element analysis, Fourier series, Inductance, Leakage Inductance, Manganese, MFT, Shell-type Transformer, Transformer cores, Windings, Winding, Accurate analytical methods, Analytical approach, Core structure, Design stage, E-core transformers, Shell type transformers, Stored energy
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ri:diva-53355DOI: 10.1109/ACCESS.2021.3080242Scopus ID: 2-s2.0-85105879115OAI: oai:DiVA.org:ri-53355DiVA, id: diva2:1557674
2021-05-262021-05-262023-05-26Bibliographically approved