Optimal Intelligent Control of Plug-in Fuel Cell Electric Vehicles in Smart Electric Grids

Abstract

<span>In this paper, Plug-in Fuel Cell Electric Vehicle (PFCEV) is considered with dual power sources<span class="apple-converted-space"> </span></span>including Fuel Cell (FC) and battery Energy Storage. In order to respond to a transient<span class="apple-converted-space"> </span>power demand, usually supercapacitor energy storage device is combined with fuel cell to create<span class="apple-converted-space"> </span>a hybrid system with high energy density of fuel cell and the high power density of battery. In order to simulate the PEV model, dynamic state space models of bidirectional DCDCconverter and grid connected voltage source converter are considered to connect the PFCEVto the main grid. In order to stabilize the DC-link power and distribute the power between dualenergy storage sources in PEV during normal and disturbance conditions on the grid voltage, afuzzy control strategy has been developed. For tuning the parameters of fuzzy logic controller,<span class="apple-converted-space"> </span>the PSO (particle swarm optimization) algorithm has been used. This controller determines the super capacitor and fuel cell powers that should be generated according to the amount of<span class="apple-converted-space"> </span>available energy in DC-link. Moreover, a robust sliding mode control strategy for three phase power electronic converter based on positive and negative symmetrical components is presented to investigate the<span class="apple-converted-space"> </span>voltage disturbance ride-through capability.