Model-based state-of-charge recalibration of lead-acid batteries in automotive applications

Gábor Bárány, P. Gáspár

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper investigates the problem of state-of-charge recalibration during vehicle key-off mode from battery current, voltage and temperature measurements. A quiescent voltage battery model is formalized and two different observers are proposed; that is, a multiple model adaptive estimator and an unscented Kalman filter. Both approaches are capable of robust quiescent voltage estimation in a computationally inexpensive way. The performance of the observers is numerically quantified by exhaustive simulations within application-relevant boundary conditions.

Original languageEnglish
Pages (from-to)1585-1593
Number of pages9
JournalProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Volume226
Issue number12
DOIs
Publication statusPublished - Dec 2012

Fingerprint

Lead acid batteries
Voltage measurement
Electric potential
Electric current measurement
Kalman filters
Temperature measurement
Boundary conditions

Keywords

  • automotive control
  • Energy storage
  • estimation
  • lead-acid batteries
  • state-of-charge

ASJC Scopus subject areas

  • Mechanical Engineering
  • Aerospace Engineering

Cite this

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AB - This paper investigates the problem of state-of-charge recalibration during vehicle key-off mode from battery current, voltage and temperature measurements. A quiescent voltage battery model is formalized and two different observers are proposed; that is, a multiple model adaptive estimator and an unscented Kalman filter. Both approaches are capable of robust quiescent voltage estimation in a computationally inexpensive way. The performance of the observers is numerically quantified by exhaustive simulations within application-relevant boundary conditions.

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