A novel high-fidelity unscented particle filtering method for the accurate state of charge estimation of lithium-ion batteries.
(2021)
Journal Article
XIE, Y., WANG, S., FERNANDEZ, C., YU, C., FAN, Y. and CAO, W. 2021. A novel high-fidelity unscented particle filtering method for the accurate state of charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 16(6), article ID 210623. Available from: https://doi.org/10.20964/2021.06.38
Power Li-ion batteries are one of the core "three powers" systems of new energy vehicles, and its accurate batteries modeling and state prediction have become the core technology of the scientific and technological progress in the industry. This pape... Read More about A novel high-fidelity unscented particle filtering method for the accurate state of charge estimation of lithium-ion batteries..