An optimized multiple-weighted adaptive genetic-Kalman hybrid al-gorithm for online state of charge estimation in lithium-ion batteries.
(2025)
Journal Article
LONG, G., LI, H., WANG, S., YU, C., GAO, H., CAO, X., ZHU, Y. and FERNANDEZ, C. 2025. An optimized multiple-weighted adaptive genetic-Kalman hybrid al-gorithm for online state of charge estimation in lithium-ion batteries. Journal of the Electrochemical Society [online], 172(3), article number 030520. Available from: https://doi.org/10.1149/1945-7111/adbf4c
As an indispensable aspect of the battery management system, accurate lithium battery state of charge (SOC) estimation has attracted wide attention. This study proposes an innovative adaptive genetic algorithm online intermittent parameter identifica... Read More about An optimized multiple-weighted adaptive genetic-Kalman hybrid al-gorithm for online state of charge estimation in lithium-ion batteries..