Magnetics Knowledge Foundation

February 7, 2025 · View on GitHub

Repository for holding all the different models, ideally and initially writen in C++

This is the simulation engine of OpenMagnetics, and the core of other modules, like PyMKF or MKFNet.

List of default models used

Air gap reluctance

ZHANG - https://sci-hub.st/https://ieeexplore.ieee.org/document/9332553

Core Losses

Depending on which models are supported by the material, in the following order:

  1. iGSE - http://inductor.thayerschool.org/papers/IGSE.pdf
  2. Proprietary (Magnetics or Micrometals)
  3. LOSS_FACTOR
  4. STEINMETZ
  5. ROSHEN - https://sci-hub.st/10.1109/20.278656 and https://sci-hub.st/10.1109/TPEL.2006.886608

Core temperature

Not really used, but for completeness: MANIKTALA - Switching Power Supplies A - Z, 2nd edition by Sanjaya Maniktala, page 154

Turns Magnetic Field

BINNS_LAWRENSON - https://library.lol/main/78A1F466FA9F3EFBCB6165283FC346B6 Equation 3.34 and 5.4

Fringing Field Magnetic Field

ROSHEN - https://sci-hub.st/10.1109/tmag.2007.898908 and https://sci-hub.st/10.1109/tmag.2008.2002302

Skin effect losses

Divided per wire type:

Proximity effect losses

Divided per wire type:

Capacitance

ALBACH - Induktivitäten in der Leistungselektronik: Spulen, Trafos und ihre parasitären Eigenschaften and https://sci-hub.st/https://ieeexplore.ieee.org/document/793378

Leakage Inductance

Own model, integrating the magnetic field calculated previously