Abstract
The DC microgrids equipped with photovoltaic and energy storage systems have increasingly been applied to unmanned vehicles, and energy management is attracted much more attention. In this work, a power management strategy based on switching model predictive control is proposed to tackle energy loss and inconsistency of energy storage systems. The dynamic characteristic of the battery are fully addressed, and the non-affine equation constraints are dealt with by the iterative approximation method. The proposed strategy balances energy loss and state-of-charge consistency of the energy storage system and can operate when future environmental information is unavailable. Finally, comparative examples with existing schemes verify the effectiveness of the proposed strategy.
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