A novel collaborative multiscale weighting factor‐adaptive Kalman filtering method for the time‐varying whole‐life‐cycle state of charge estimation of lithium‐ion batteries.
(2022)
Journal Article
WANG, S., FAN, Y., YU, C., JIN, S., TAKYI-ANINAKWA, P., FERNANDEZ, C. and STROE, D.-I. 2022. A novel collaborative multiscale weighting factor-adaptive Kalman filtering method for the time-varying whole-life-cycle state of charge estimation of lithium-ion batteries. International journal of energy research [online], 46(6), pages 7704-7721. Available from: https://doi.org/10.1002/er.7672
Accurate state of charge (SOC) estimation is essential for the whole-life-cycle safety guarantee and protection of lithium-ion batteries, which is quite difficult to realize. In this study, a novel weighting factor-adaptive Kalman filtering (WF-AKF)... Read More about A novel collaborative multiscale weighting factor‐adaptive Kalman filtering method for the time‐varying whole‐life‐cycle state of charge estimation of lithium‐ion batteries..