An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery.
(2023)
Journal Article
ZHOU, Y., WANG, S., XIE, Y., ZHU, T. and FERNANDEZ, C. 2023. An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery. International journal of green energy [online], Latest Articles. Available from: https://doi.org/10.1080/15435075.2023.2196328
For real-time monitoring and safe control of electrical vehicles, it is important to accurately estimate the state of charge of lithium-ion batteries. A combined data-driven modeling approach based on Least squares support vector machine based on par... Read More about An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery..