1. A method comprising; employing a fuzzy logic-based adaptive power management system in a an electrical energy system; coupling a photovoltaic system to the power management system; coupling a first capacitor based energy storage system to the power management system; coupling a second battery energy based storage system to the power management system; and coupling a storage of knowledge of system operation and operation of energy storage related devices within an electric energy system to the power management system, and a management storage system communicating with the photovoltaic system, first capacitor and battery based energy system and storage of knowledge for influencing energy fluctuations ahead of detailed control loops in power electronic devices, the fuzzy logic based adaptive system including a filter based power coordination layer for power conditioning among the energy based storage system and a fuzzy logic based control adjustment for monitoring operational status of all energy storage devices taking into account their dynamic characteristics for tuning control settings with the system adaptively and influencing optimal power or energy distributions within the system; and prioritizing with fuzzy logic to prevent saturation or depletion of energy capacity with a priority to prevent saturation or depletion of energy capacity of the battery energy based storage system; wherein the fuzzy logic based control adjustment comprises applying rules: 1) If SoC uc is NB or SoC be , is NB, ΔT 1 is NB; 2) If SoC uc is PB or SoC be , is PB, ΔT 1 is NB; 3) If SoC uc is NS or SoC be , is NS, ΔT 1 is NS; 4) If SoC uc is PS or SoC be , is PS, ΔT 1 is NS; 5) If SoC uc is ZO and SoC be , is ZO, ΔT 1 is PB or ZO, where SoC uc is system operation of ultracapacitor, SoC be , is system operation of the battery system, fuzzy variables of input and output are expressed as “positive big (PB)”, “positive medium (PM)”, “positive small (PS)”, “Zero (ZO)”, “negative big (NB)”, “negative medium (NM)”, “negative small (NS)”, and T 1 is smoothing parameter.