Assessment of Cost Factors Impacting Planar Magnetic Windings

Emmanuel Havugimana, Sakib Ahmed, Mike K. Ranjram

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Planar magnetics are being actively explored in a wide range of power electronics applications, with argumentation of their low cost being a key aspect of their popularity. However, unlike conventional wire wound magnetic components, their costs do not scale convincingly with volume owing to a strong dependence on manufacturing complexity. This paper assesses the cost factors impacting the design of planar magnetic windings. This is done qualitatively, through direct manufacturer survey, and quantitatively by presenting a cost modelling approach derived from cost quotations of exemplar planar transformers. The developed model fits excellently to the data it was trained on (6.5% error). It is shown to have good predictive power on designs that are well-represented by the training data (though not in the training set, 13% error), and reasonable performance (20-58% error) on designs which have limited representation in the training data.

Original languageEnglish (US)
Title of host publication2023 IEEE 24th Workshop on Control and Modeling for Power Electronics, COMPEL 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350316186
DOIs
StatePublished - 2023
Event24th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2023 - Ann Arbor, United States
Duration: Jun 25 2023Jun 28 2023

Publication series

Name2023 IEEE 24th Workshop on Control and Modeling for Power Electronics, COMPEL 2023

Conference

Conference24th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2023
Country/TerritoryUnited States
CityAnn Arbor
Period6/25/236/28/23

Keywords

  • cost model
  • manufacturing costs
  • optimization
  • PCB
  • Planar magnetics

ASJC Scopus subject areas

  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Modeling and Simulation

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