LAPSE:2023.33502
Published Article

LAPSE:2023.33502
A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries
April 21, 2023
Abstract
In this paper, we consider the problem of state-of-charge estimation for rechargeable batteries. Coulomb counting is a well-known method for estimating the state of charge, and it is regarded as accurate as long as the battery capacity and the beginning state of charge are known. The Coulomb counting approach, on the other hand, is prone to inaccuracies from a variety of sources, and the magnitude of these errors has not been explored in the literature. We formally construct and quantify the state-of-charge estimate error during Coulomb counting due to four types of error sources: (1) current measurement error; (2) current integration approximation error; (3) battery capacity uncertainty; and (4) timing oscillator error/drift. It is demonstrated that the state-of-charge error produced can be either time-cumulative or state-of-charge-proportional. Time-cumulative errors accumulate over time and have the potential to render the state-of-charge estimation utterly invalid in the long term.The proportional errors of the state of charge rise with the accumulated state of charge and reach their worst value within one charge/discharge cycle. The study presents methods for reducing time-cumulative and state-of-charge-proportional mistakes through simulation analysis.
In this paper, we consider the problem of state-of-charge estimation for rechargeable batteries. Coulomb counting is a well-known method for estimating the state of charge, and it is regarded as accurate as long as the battery capacity and the beginning state of charge are known. The Coulomb counting approach, on the other hand, is prone to inaccuracies from a variety of sources, and the magnitude of these errors has not been explored in the literature. We formally construct and quantify the state-of-charge estimate error during Coulomb counting due to four types of error sources: (1) current measurement error; (2) current integration approximation error; (3) battery capacity uncertainty; and (4) timing oscillator error/drift. It is demonstrated that the state-of-charge error produced can be either time-cumulative or state-of-charge-proportional. Time-cumulative errors accumulate over time and have the potential to render the state-of-charge estimation utterly invalid in the long term.The proportional errors of the state of charge rise with the accumulated state of charge and reach their worst value within one charge/discharge cycle. The study presents methods for reducing time-cumulative and state-of-charge-proportional mistakes through simulation analysis.
Record ID
Keywords
battery capacity, battery impedance, battery management system, Coulomb counting, equivalent circuit model, measurement errors, state of charge
Subject
Suggested Citation
Movassagh K, Raihan A, Balasingam B, Pattipati K. A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries. (2023). LAPSE:2023.33502
Author Affiliations
Movassagh K: Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada
Raihan A: Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada
Balasingam B: Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada [ORCID]
Pattipati K: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA
Raihan A: Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada
Balasingam B: Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada [ORCID]
Pattipati K: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA
Journal Name
Energies
Volume
14
Issue
14
First Page
4074
Year
2021
Publication Date
2021-07-06
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14144074, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.33502
This Record
External Link

https://doi.org/10.3390/en14144074
Publisher Version
Download
Meta
Record Statistics
Record Views
226
Version History
[v1] (Original Submission)
Apr 21, 2023
Verified by curator on
Apr 21, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.33502
Record Owner
Auto Uploader for LAPSE
Links to Related Works
