Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery's Short-term Dynamics

Rishi Relan*, Koen Tiels, Jean Marc Timmermans, Johan Schoukens

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

A data-driven methodology is proposed to identify a multi-input single-output (MISO) polynomial nonlinear state-space model (PNLSS) for battery's short-term electrical response, starting from the best linear approximation of the electrical impedance at multiple operating conditions. Furthermore, a transient handling methodology is utilised to minimise the effect of transients arising due to concatenating data from multiple experiments during the identification of the PNLSS model. Experimental validation is done using the data acquired from the operating points lying in the nonlinear regime of an almost depleted battery in terms of the state of charge (SoC) i.e. between 2%-10% at temperatures between 5°C-40°C.

Original languageEnglish
Book seriesI F A C Workshop Series
Volume51
Issue number15
Pages (from-to)497-502
ISSN1474-6670
DOIs
Publication statusPublished - 1 Jan 2018
Event18th IFAC Symposium on System Identification - AlbaNova University Center, Stockholm, Sweden
Duration: 9 Jul 201811 Jul 2018
Conference number: 18

Conference

Conference18th IFAC Symposium on System Identification
Number18
LocationAlbaNova University Center
CountrySweden
CityStockholm
Period09/07/201811/07/2018

Keywords

  • Battery
  • Frequency domain system identification
  • Nonlinear state-space models

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