Recursive State of Charge and State of Health Estimation Method for Lithium-Ion Batteries Based on Coulomb Counting and Open Circuit Voltage

Alejandro Gismero*, Erik Schaltz, Daniel-Ioan Stroe

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

59 Citations (Scopus)
98 Downloads (Pure)

Abstract

The state of charge (SOC) and state of health (SOH) are two crucial indicators needed for a proper and safe operation of the battery. Coulomb counting is one of the most adopted and straightforward methods to calculate the SOC. Although it can be implemented for all kinds of applications, its accuracy is strongly dependent on the operation conditions. In this work, the behavior of the batteries at different current and temperature conditions is analyzed in order to adjust the charge measurement according to the battery efficiency at the specific operating conditions. The open-circuit voltage (OCV) is used to reset the SOC estimation and prevent the error accumulation. Furthermore, the SOH is estimated by evaluating the accumulated charge between two different SOC using a recursive least squares (RLS) method. The SOC and SOH estimations are verified through an extensive test in which the battery is subjected to a dynamic load profile at different temperatures.
Original languageEnglish
Article number1811
JournalEnergies
Volume13
Issue number7
Number of pages11
ISSN1996-1073
DOIs
Publication statusPublished - Apr 2020

Keywords

  • Coulomb counting
  • Lithium-ion battery
  • Open circuit voltage
  • State-of-charge (SoC)
  • State-of-health (SoH)

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