A novel square-root adaptive unscented Kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries.
(2022)
Journal Article
WANG, S., GAO, H., QIAO, J., CAO, J. and FERNANDEZ, C. 2022. A novel square-root adaptive unscented kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 17(7), article ID 220735. Available from: https://doi.org/10.20964/2022.07.46
The accurate state-of-charge estimation of the lithium-ion battery is one of the key technologies to benchmark the rapid development of new energy vehicles. Unscented Kalman filtering abandons the traditional way of forcing the system to linearize, s... Read More about A novel square-root adaptive unscented Kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries..