Mass Production Costing of Induction Machines for Automotive Applications

Vladimir Hundak, Tom Cox, Gaurang Vakil, Christopher Gerada

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Cost is one of the key parameters of electric machines designed for automotive applications. In order to keep manufacturing cost low, it is desirable to estimate the manufacturing cost of the machine in the early stages of the design process. For this purpose, a costing algorithm for mass production of induction machines is proposed. The case study examines the impact of variations in dimension (stack length and bore diameter) of the input design on cost outputs, in order to validate the base structure of the algorithm. The overall aim of this work is to provide cost optimization of the machine design by implementation into a design optimization routine.

Original languageEnglish
Title of host publication2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages687-694
Number of pages8
ISBN (Print)9781538630488
DOIs
Publication statusPublished - 28 Aug 2018
Externally publishedYes
Event2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018 - Long Beach, United States
Duration: 13 Jun 201815 Jun 2018

Publication series

Name2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018

Conference

Conference2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018
Country/TerritoryUnited States
CityLong Beach
Period13/06/1815/06/18

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Transportation

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