Fuzzy logic modeling of unmanned surface vehicle (USV) hybrid power system

Unmanned surface vehicles (USVs) can serve the roles of providing Intelligence, Surveillance and Reconnaissance (ISR) to a fleet as well as performing mine countermeasure (MCM) missions. Many of these missions require some period of low observable/stealth mode operation of the USV. The focus of this paper is modeling of a hybrid power system to meet for a USV to meet the mission profiles. The power system of the USV is chosen to be a hybrid power source comprising a diesel generator and a lithium-ion battery pack. Optimal sizing of the diesel generator and battery pack is important for ensuring successful USV missions. This paper describes the characterization and modeling of 70 Ah Kokam cells using fuzzy logic analysis of the experimental data to accurately estimate the SOC, power available and the terminal voltage of this Li-Ion battery. We also describe fuzzy logic-based modeling of a diesel generator. The power required to propel the USV was estimated from a planning hull drag model. This model developed in the MATLAB/Simulink environment is also described in this paper