An Improved Coulomb Counting Approach Based on Numerical Iteration for SOC Estimation With Real-Time Error Correction Ability
Open accessAbstract
The coulomb counting (CC) approach is widely used in SOC estimation due to its simplicity and low calculation cost. However, in practical applications, the lack of error correction ability limits its accuracy due to the measured noise in the practical occasion. To address the issue, an improved CC (ICC) approach based on numerical iteration is proposed in this paper. In the proposed approach, a battery model based on a 2nd-order, RC circuit is first formulated to determine the SOC-OCV curve, R-OCV curve, and inner parameters. In the model, the slow dynamic and fast dynamic voltages are described separately, and are utilized for battery state assessment. Then, the SOC will be estimated by the CC approach at the unsteady state but through a numerical iteration approach at steady state. Consequently, the accumulative SOC error from the CC approach will be corrected when the numerical iteration approach is applied. Furthermore, a compensation coefficient is employed into the CC approach to reduce the error accumulation rate. Hence, the proposed ICC approach could make full use of the advantages of conventional CC in low computational demand and numerical iteration approach in error correction. Finally, an experiment platform was built, where two kinds of current sensors with different measuring accuracy were employed to simulate the measured current with and without noise, respectively. The experimental results suggest that the accumulative SOC error can be corrected in real-time and the SOC error is reduced to 1%. The error accumulation rate of SOC is effectively reduced compared with traditional CC approach, simultaneously, more than 90% of the calculation time can be reduced compared with EKF.
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Coulomb counting is susceptible to sensor inaccuracies and cumulative errors caused by battery aging.
“Coulomb counting is susceptible to sensor inaccuracies and cumulative errors caused by battery aging[5]”
From Advancements in the estimation of the state of charge of lithium-ion battery: a comprehensive review of traditional and deep learning approaches (2025) · cites this paper as [5]
The Introduction says Coulomb counting can accumulate error because of measurement noise and its lack of error correction, and the Data Collection section demonstrates increasing error with noisy current measurements. The Off-line Parameters Identification section acknowledges that aging affects battery performance but calls its influence negligible in these tests; it does not attribute the cumulative Coulomb-counting errors to aging. Page numbers are not available in our copy. (LLM, conf=0.88)
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- Authors
- He, L., & Guo, D.
- Affiliations
- Xiamen University (CN)
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 74274-74282
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2948676882
- Cited by
- 65
- References
- 34
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 14 · 2023: 9 · 2022: 7 · 2021: 4 · 2020: 3 · 2019: 1
- FWCI
- 1.71
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Fujian Province Outstanding Youth Fund (2018J06016)
- National Natural Science Foundation of China (61671400)
- Xiamen University
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Keywords
- Coulomb counting, state of charge estimation, error correction, iterative computation, compensation coefficient, low computational cost
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