In this paper, a new robust fuzzy control approach is presented to power management in the photovoltaic (PV)-battery hybrid system. The stability and robustness of the developed control scheme is analyzed through the Lyapunov technique. The dynamics of the converters, battery and PV system are assumed to be fully unknown. Specifically, the uncertainties are online estimated by the adaptive interval type-2 fuzzy neural networks. It is shown that the implemented control technique results are in good performance in the presence of time-varying radiation, changes of temperature and output load variation in comparison with the other well-known control techniques.
