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Multi-Innovation UKF for SOC Estimation by batuhan is a document available to read on EtoBox.
This paper presents a multi-innovation unscented Kalman filter (MI-UKF) for accurate state of charge (SOC) estimation in electric vehicles (EVs) within the vehicle-to-grid (V2G) framework. The proposed method enhances the traditional unscented Kalman filter by utilizing both current and previous battery output voltage values, resulting in improved estimation accuracy and robustness against operational uncertainties. Experimental results demonstrate that the MI-UKF significantly outperforms conventional meth
- Author
- batuhan
- Language
- EN