Reluctance network model for the in-wheel motor of a series-hybrid truck using Tooth Contour Method

M.F.J. Kremers, E. Ilhan, D.C.J. Krop, J.J.H. Paulides, E. Lomonova

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
99 Downloads (Pure)

Abstract

Recently, series-hybrid drivetrains are given more emphasis over parallel-hybrid drivetrains due to their simplicity, freedom in implementation and higher efficiency. However, the modeling phase of such machines takes either long calculation time with numerical methods such as Finite Element Analysis (FEA) or produces low accurate results with Magnetic Equivalent Circuit (MEC) models. In this paper a method is used to build a reluctance network where high accuracy is obtained yet still with acceptable calculation time.
Original languageEnglish
Title of host publicationProc.14th Biennial IEEE Conference on Electromagnetic Field Computation (CEFC), 2010,Chicago, IL, 9-12 May 2010
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1-1
ISBN (Print)978-1-4244-7059-4
DOIs
Publication statusPublished - 2010

Fingerprint

Dive into the research topics of 'Reluctance network model for the in-wheel motor of a series-hybrid truck using Tooth Contour Method'. Together they form a unique fingerprint.

Cite this