Design and analysis of global optimization methods for proton exchange membrane fuel cell powered electric vehicle system with single switch DC-DC converter

Abstract

The Proton Exchange Membrane type Fuel Cells (PEMFC) are playing a major role in the present automotive industry application. The advantages of PEMFC are more reliable, high starting speed, and high efficiency. The PEMFC gives nonlinear V-I and P-I characteristics at diverse operating temperature conditions. As a result, the entire system performance is get reduced. Here, global optimization methodologies are used for the PEMFC system for improving the tracing speed of the Maximum Power Point (MPP). The global optimization methods are classified as Improved Particle Swarm Optimization (IPSO), and Adaptive Cuckoo Search Optimization (ACSO). These techniques are compared at different operating temperature conditions. The merits of global optimization techniques are easy understanding, nonlinear complex problem solving, high efficient, and more reliable when compared to the other classical controllers. The major disadvantage of PEMFC is less output voltage which is step-up by using a single switch boost converter. The proposed fuel cell fed boost converter system is investigated by using a MATLAB/Simulink window.