A coupled analytical-numerical approach for optimal sizing of power inductors. Issue 5 (19th August 2014)
- Record Type:
- Journal Article
- Title:
- A coupled analytical-numerical approach for optimal sizing of power inductors. Issue 5 (19th August 2014)
- Main Title:
- A coupled analytical-numerical approach for optimal sizing of power inductors
- Authors:
- Makni, zaatar
Demersseman, Richard
Sykulski, Jan
Masmoudi, Ahmed - Abstract:
- <abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec sec-type="purpose"> <title>Purpose</title> <p>An optimal sizing methodology is presented in this paper. It is applied to a foil-coil powder core power inductor used in new generation inverters designed for hybrid and full-electric vehicles. The methodology includes a preliminary analytical calculation and a numerical optimization aimed at minimizing the component size.</p> </sec> <sec sec-type="design|methodology|approach"> <title>Design/methodology/approach</title> <p>Unlike bulk magnetic alloys or ferrites, the magnetic non-linearity of powder materials cannot be neglected in the analytical calculation. This non linearity requires the use of an iterative calculation to search the set of parameters for which the target inductance value and the minimum volume are simultaneously reached. The numerical optimization process is based on 2D Finite Element analysis carried out with FEMM software tool and a simplex-type algorithm run in Scilab software. These two freewares are coupled using the scifemm.sci script which is included in the FEMM distribution.</p> </sec> <sec sec-type="findings"> <title>Findings</title> <p>The association of analytical and FE approaches provides a relevent and quick sizing methodology. It was successfully applied to size a new power inductor.</p> </sec> <sec sec-type="originality|value"> <title>Originality/value</title> <p>The strong non linearity of the powder<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec sec-type="purpose"> <title>Purpose</title> <p>An optimal sizing methodology is presented in this paper. It is applied to a foil-coil powder core power inductor used in new generation inverters designed for hybrid and full-electric vehicles. The methodology includes a preliminary analytical calculation and a numerical optimization aimed at minimizing the component size.</p> </sec> <sec sec-type="design|methodology|approach"> <title>Design/methodology/approach</title> <p>Unlike bulk magnetic alloys or ferrites, the magnetic non-linearity of powder materials cannot be neglected in the analytical calculation. This non linearity requires the use of an iterative calculation to search the set of parameters for which the target inductance value and the minimum volume are simultaneously reached. The numerical optimization process is based on 2D Finite Element analysis carried out with FEMM software tool and a simplex-type algorithm run in Scilab software. These two freewares are coupled using the scifemm.sci script which is included in the FEMM distribution.</p> </sec> <sec sec-type="findings"> <title>Findings</title> <p>The association of analytical and FE approaches provides a relevent and quick sizing methodology. It was successfully applied to size a new power inductor.</p> </sec> <sec sec-type="originality|value"> <title>Originality/value</title> <p>The strong non linearity of the powder material is correctly taken into account in the analytical model thanks to an iterative calculation process. Thus, the preliminary analytical solution is quite relevant. Consequently, a local FE based optimisation is enough to find the optimal solution close by the analytical one. No global optimisation is required. A local optimum is sufficient.</p> </sec> </abstract> … (more)
- Is Part Of:
- Compel. Volume 33:Issue 5(2014)
- Journal:
- Compel
- Issue:
- Volume 33:Issue 5(2014)
- Issue Display:
- Volume 33, Issue 5 (2014)
- Year:
- 2014
- Volume:
- 33
- Issue:
- 5
- Issue Sort Value:
- 2014-0033-0005-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-08-19
- Subjects:
- Electrical engineering -- Data Processing -- Periodicals
Electrical engineering -- Mathematics -- Periodicals
Electrical engineering -- Periodicals
Electronics -- Data Processing -- Periodicals
Electronics -- Mathematics -- Periodicals
621.3 - Journal URLs:
- http://www.emeraldinsight.com/0332-1649.htm ↗
http://www.emeraldinsight.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1108/COMPEL-12-2013-0411 ↗
- Languages:
- English
- ISSNs:
- 0332-1649
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.924000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3163.xml