An Optimal Fuzzy Logic Control for a Fuel Cell Hybrid Electric Vehicle Based on Particle Swarm and Advisor

Abstract

In this paper, an energy management system based on Fuzzy Logic for a Fuel cell hybrid electric vehicle is designed and embedded in the Advisor control library. Particle Swarm Optimization is used to find the best sizing and control parameters that maximize the fuel economy without affecting the vehicle performances. The Particle Swarm is also applied to the Powertrain Controller built-in the Simulator. Evaluation results show that the fuel economy and the efficiencies for the proposed model are improved compared with the default Powertrain Controller.