• DocumentCode
    482639
  • Title

    Synthetic design of the transformer in flyback switching AC-DC converters

  • Author

    Chen, Ge ; Chen, Jiaxin ; Guo, Youguang ; Zhu, Jianguo

  • Author_Institution
    Minist. of Educ. Sponsored Res. Center of Adv. Textile Machinery, Donghua Univ., Shanghai
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    1871
  • Lastpage
    1874
  • Abstract
    This paper presents the synthetic design of the transformer in flyback switching AC-DC converters. Firstly, the maximal power transferred by a standard size magnetic core such as EE-20 or EE-25 is theoretically determined. To obtain accurate analysis, a method based on the nonlinear finite element analysis (FEA) of electromagnetic field is employed. Secondly, from the view of reducing the maximal magnetic flux density in the transformer with the same power, it is proved that the discontinuous conducting mode has more advantages than the continuous conducting mode. Several rules for designing the transformer are presented. As an example, the transformer of an existing converter is re-designed by using the proposed approach. With a nonlinear 2-D FEA field-circuit coupled switching detailed model built in Matlab/Simulink surrounding, the performance of the new converter is obtained.
  • Keywords
    AC-DC power convertors; finite element analysis; power transformers; switching convertors; 2-D FEA; Matlab/Simulink; discontinuous conducting mode; field-circuit coupled switching; flyback switching AC-DC converters; maximal magnetic flux density; nonlinear finite element analysis; standard size magnetic core; transformer design; AC-DC power converters; Couplings; Electromagnetic analysis; Electromagnetic fields; Finite element methods; Magnetic analysis; Magnetic cores; Magnetic flux density; Mathematical model; Switching converters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4771043