Fast adaptive parameters identification for online state-of-charge estimation
Fast adaptive parameters identification for online state-of-charge estimation
In this research we propose a combination approach-ing of adaptive algorithm called Condition Memory Re-cursive Least Square (CMRLS) to continuously identi-fies the parameters of battery equivalent circuit model (ECM), the achieved model then be used to estimate SoC by Uncented Kalmann Filter (UKF).