Collaborative state estimation of lithium‐ion battery based on multi‐time scale low‐pass filter forgetting factor recursive least squares ‐ double extended Kalman filtering algorithm.
(2022)
Journal Article
LONG, T., WANG, S., CAO, W., REN, P., HE, M. and FERNANDEZ, C. 2022. Collaborative state estimation of lithium-ion battery based on multi-time scale low-pass filter forgetting factor recursive least squares - double extended Kalman filtering algorithm. International journal of circuit theory and applications [online], 50(6), pages 2108-2127. Available from: https://doi.org/10.1002/cta.3250
For the lithium battery management system and real-time safety monitoring, two issues are of great significance, namely, the ability to accurately update the model parameters in real time and to accurately estimate the state of charge and health. In... Read More about Collaborative state estimation of lithium‐ion battery based on multi‐time scale low‐pass filter forgetting factor recursive least squares ‐ double extended Kalman filtering algorithm..