A quality flow model in battery manufacturing systems for electric vehicles

Feng Ju, Jingshan Li, Guoxian Xiao, Ningjian Huang, Stephan Biller

Research output: Contribution to journalArticle

27 Scopus citations

Abstract

Improving quality in large volume battery manufacturing systems for hybrid and electric vehicles is of significant importance. In this paper, we present a flow model to analyze and improve product quality in electrical vehicle battery assembly lines with 100% inspections and repairs for defective parts. Specifically, a battery assembly line consisting of multiple inspection stations is considered. After each inspection, defective parts will be repaired and sent back to the line. A quality flow model is introduced to analyze quality propagations along the battery production line. Analytical expressions of final product quality are derived and structural properties, such as monotonicity and sensitivities, are investigated. A bottleneck identification and mitigation method is introduced to improve quality performance. Finally, a case study is presented to illustrate the applicability of the method.

Original languageEnglish (US)
Article number6425437
Pages (from-to)230-244
Number of pages15
JournalIEEE Transactions on Automation Science and Engineering
Volume11
Issue number1
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

Keywords

  • Battery
  • Bottleneck
  • Flow model
  • Monotonicity
  • Quality
  • Repair
  • Sensitivity
  • Serial line

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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