Online Self-tuning BI-Objective Particles Swarm Optimized Controllers for FC/UC Hybrid Electric Vehicle

Abstract

A particle swarm optimization (PSO) for PI regulator parameters is proposed to improve dynamic performances and control strategies for fuel cell hybrid electric vehicle FCHEV. The chosen structure is the combination of a primary energy system (Fuel Cell) with an auxiliary storage device (Ultra Capacitor). A bi-objective PSO (Bi-PSO) based PI controllers is investigated. Twice online and offline PSO based PI regulators based on integral absolute error IAE are evaluated under mutable conditions. Matlab Simulink is used to compare the both suggested optimization methods. The results show that PI regulators with online self-tuning by Bi-PSO algorithm based on IAE index achieves the best response in terms of hydrogen consumption and traction system stability.