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SOC estimation of lead–carbon battery based on GA-MIUKF algorithm.
- Source :
- Scientific Reports; 2/9/2024, Vol. 14 Issue 1, p1-13, 13p
- Publication Year :
- 2024
-
Abstract
- The paper proposes a SOC (State of Charge) estimation method for lead–carbon batteries based on the GA-MIUKF algorithm. The GA-MIUKF algorithm combines GA (Genetic Algorithm) for global search and optimization with the MI-UKF (Multi-innovation Unscented Kalman Filter) algorithm for estimating the SOC of lead–carbon batteries. By establishing an equivalent circuit model for the battery, the GA is employed to globally search and optimize the battery model parameters and the noise variance parameters in the MI-UKF algorithm. Comparative analyses with the UKF (Unscented Kalman Filter) algorithms and MI-UKF algorithms reveal that the SOC estimation method based on the GA-MIUKF algorithm yields more accurate results for lead–carbon battery SOC estimation, with an average estimation error of 2.0%. This highlights the efficacy of the proposed approach in enhancing SOC estimation precision. [ABSTRACT FROM AUTHOR]
- Subjects :
- KALMAN filtering
ALGORITHMS
GLOBAL optimization
GENETIC algorithms
STORAGE batteries
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 14
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Scientific Reports
- Publication Type :
- Academic Journal
- Accession number :
- 175831853
- Full Text :
- https://doi.org/10.1038/s41598-024-53370-z