A novel joint support vector machine-cubature Kalman filtering method for adaptive state of charge prediction of lithium-ion batteries.
(2021)
Journal Article
SONG, Q., WANG, S., XU, W., SHAO, Y. and FERNANDEZ, C. 2021. A novel joint support vector machine-cubature Kalman filtering method for adaptive state of charge prediction of lithium-ion batteries. International journal of electrochemical science [online], 16(8), article ID 210823. Available from: https://doi.org/10.20964/2021.08.26
Accurate estimation of SOC of lithium-ion batteries has always been an important work in the battery management system. However, it is often very difficult to accurately estimate the SOC of lithium-ion batteries. Therefore, a novel joint support vect... Read More about A novel joint support vector machine-cubature Kalman filtering method for adaptive state of charge prediction of lithium-ion batteries..