Design-Of-Experiment and Statistical Modeling of a Large Scale Ageing Experiment for Two Popular Lithium Ion Cell Chemistries

Wenzel Prochazka*, Gudrun Pregartner, Martin Cifrain

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper demonstrates the method of design-of-experiment for an aging test of two popular lithium ion cell chemistries used in consumer and automotive industry. A design of experiment helps to produce statistically repeatable data of the aging behavior of cells, unlike small scale experiments with single cells and/or single influences. After setting up the experiment, measurements for over 150 cells of the two popular cathode chemistries iron-phosphate and nickel-cobalt-aluminum against a graphite anode are presented. These results are then subjected to statistical modeling in order to distill the information gain about the cell aging more easily. The models received reflect the complex behavior of the many electrochemical cell aging processes rather well. So it can be concluded that pure influence factors and their interactions show significant influence on the cell aging behavior, but not all possible interactions are needed in future testing for cell aging of new chemistries.
Original languageEnglish
Pages (from-to)A1039-A1051
JournalJournal of the Electrochemical Society
Volume160
Issue number8
DOIs
Publication statusPublished - 2013

Fields of Expertise

  • Mobility & Production

Treatment code (Nähere Zuordnung)

  • Application
  • Experimental

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