Mass Production Costing of Induction Machines for Automotive Applications

Vladimir Hundak; Tom Cox; Gaurang Vakil; Christopher Gerada

doi:10.1109/ITEC.2018.8450116

Mass Production Costing of Induction Machines for Automotive Applications

Vladimir Hundak, Tom Cox, Gaurang Vakil, Christopher Gerada

Nottingham Electrification Centre

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	687-694
Number of pages	8
ISBN (Print)	9781538630488
DOIs	https://doi.org/10.1109/ITEC.2018.8450116
Publication status	Published - 28 Aug 2018
Event	2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018 - Long Beach, United States Duration: 13 Jun 2018 → 15 Jun 2018

Publication series

Name	2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018

Conference

Conference	2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018
Country/Territory	United States
City	Long Beach
Period	13/06/18 → 15/06/18

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Transportation

Access to Document

10.1109/ITEC.2018.8450116

Cite this

Hundak, V., Cox, T., Vakil, G., & Gerada, C. (2018). Mass Production Costing of Induction Machines for Automotive Applications. In 2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018 (pp. 687-694). Article 8450116 (2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC.2018.8450116

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title = "Mass Production Costing of Induction Machines for Automotive Applications",

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.",

author = "Vladimir Hundak and Tom Cox and Gaurang Vakil and Christopher Gerada",

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doi = "10.1109/ITEC.2018.8450116",

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Hundak, V, Cox, T, Vakil, G & Gerada, C 2018, Mass Production Costing of Induction Machines for Automotive Applications. in 2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018., 8450116, 2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 687-694, 2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018, Long Beach, United States, 13/06/18. https://doi.org/10.1109/ITEC.2018.8450116

Mass Production Costing of Induction Machines for Automotive Applications. / Hundak, Vladimir; Cox, Tom; Vakil, Gaurang et al.
2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 687-694 8450116 (2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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Hundak V, Cox T, Vakil G, Gerada C. Mass Production Costing of Induction Machines for Automotive Applications. In 2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 687-694. 8450116. (2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018). doi: 10.1109/ITEC.2018.8450116

Mass Production Costing of Induction Machines for Automotive Applications

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