An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation.
(2022)
Journal Article
HAO, X., WANG, S., FAN, Y., XIE, Y. and FERNANDEZ, C. 2023. An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation. Journal of energy storage [online], 59, article 106478. Available from: https://doi.org/10.1016/j.est.2022.106478
As an indispensable part of the battery management system, accurately predicting the estimation of the state of charge (SOC) has attracted more attention, which can improve the efficiency of battery use and ensure its safety performance. Taking the t... Read More about An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation..