Modelling of electric vehicle charging station and controlled by fuzzy logic controller with different modes of operation

The main objective of implementing charging stations is to ensure the good charging to theElectric Vehicles by using a solar PV array which is interconnected to the battery energy storagesystems. The charging station regulates the supply voltage and frequency without the use of amechanical speed governor. It also assures that energy gained from grid or by the DG set willhave the unity power factor (UPF) when the load is nonlinear. Besides this, the Point of CommonCoupling (PCC) voltage is synchronised with the grid/generator voltage in order to providecontinuous charging. In order to increase the optimal efficiency of the charging stations, thecharging stations will perform the active/reactive power transfer from the vehicle to grid, vehicleto house and vehicle to vehicle (V2V) power transfer. The operational experiment of the chargingstation is simulated and verified by using MATLAB/SIMULINK.

ΕQ-代数上的模糊前滤子

模糊化方法可以有效简化代数结构的复杂性。因而文中应用代数系统模糊化方法和模糊集水平截集方法,研究EQ-代数的模糊前滤子的性质及其生成方法。进而得到以下结果:引入了EQ-代数模糊前滤子和素模糊前滤子的概念。分别给出了EQ-代数模糊前滤子、素模糊前滤子与前滤子、素前滤子之间的关系。给出了EQ-代数上由一个模糊子集生成一个模糊前滤子的公式。最后,得到了一个EQ-代数上全体模糊前滤子的集合构成一个完备模格。