Projects per year
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 language | English |
---|---|
Article number | 1811 |
Journal | Energies |
Volume | 13 |
Issue number | 7 |
Number of pages | 11 |
ISSN | 1996-1073 |
DOIs | |
Publication status | Published - Apr 2020 |
Keywords
- Coulomb counting
- Lithium-ion battery
- Open circuit voltage
- State-of-charge (SoC)
- State-of-health (SoH)
Fingerprint
Dive into the research topics of 'Recursive State of Charge and State of Health Estimation Method for Lithium-Ion Batteries Based on Coulomb Counting and Open Circuit Voltage'. Together they form a unique fingerprint.Projects
- 1 Finished
-
eVolution2G - V2G: Innovative Vehicle to Grid model for electric mobility deployment in Europe
Schaltz, E., Stroe, D., Gismero, A., Jacobsen, J. & Miltersen, A. H.
01/06/2018 → 31/05/2020
Project: Research