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Battery SoC Estimation via EKF Tuning by Sarita Umadi is a document available to read on EtoBox.
This document presents a method for the joint estimation of battery state of charge (SoC) and model parameters using an Extended Kalman Filter (EKF) with a single tuning parameter approach. The proposed method addresses the challenges of extensive tuning and model uncertainty by incorporating a structured representation of disturbances and uncertainties, leading to improved estimation accuracy. Experimental results demonstrate that the new observer achieves close-to-optimal performance with straightforward
- Author
- Sarita Umadi
- Language
- EN