Design of an Anti-Disturbance Luenberger Fault Estimator for the State of Charge Estimation of Lithium-Ion Batteries Based on Lipschitz Concept

Battery management systems rely on an accurate estimate of the state of charge of lithiumion battery for safe and reliable operations. In this paper, we present a Luenberger observer suitable for nonlinear battery dynamics that are subject to practical conditions - Lipschitz continuity, input faults, and disturbances. Our observer differs from the existing body of literature by considering the aforementioned conditions explicitly, which allows for robust fault estimation and disturbance rejection. In our example, we show how our approach can reduce the state of charge estimation error by up to X% and reduce the convergence time by Y% when compared to other variants of the extended Kalman filter. Reliability and responsiveness are critical for battery management systems and the results presented in this paper represent an improvement to the quality of estimation, which has far reaching implications for safer and more efficient energy storage solutions in electric vehicles or grid applications.