Design of Experiments for Battery Aging Estimation

Anna I. Pózna, K. Hangos, Attila Magyar

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Li-ion batteries are widely used in EV applications and are imposed to several aging effects during their lifetime. Since battery health cannot be measured directly, information about its health can be obtained by iteratively re-estimating the parameters of the model describing its dynamical behavior. The optimal design of experiments is investigated in this paper. The proposed method applies families of input signals (PRBS current and constant current-constant voltage (CC-CV) signals) to the batteries to estimate the key aging factors. Simulation experiments have been used to analyze the statistical properties of the estimators as a function of the design parameters of the input signal families. The results show that the CC-CV charging-discharging cycle has the possibility to gain the most information out of the battery model parameter estimation.

Original languageEnglish
Pages (from-to)386-391
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number28
DOIs
Publication statusPublished - Jan 1 2018

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Keywords

  • Electric
  • Energy storage operation
  • excitation design
  • experiment design
  • Input
  • Model formulation
  • planning
  • solar vehicles

ASJC Scopus subject areas

  • Control and Systems Engineering

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