Behaviour assessment of a fuel Cell - Battery system using a supervisory cControl methodology Empowered by a Hybrid Timed Automaton (HTA)

Abstract

This work presents the design and development of a supervisory control methodology for the management of energy decisions in a hybrid powered system. More specifically the methodology implements an energy management strategy (EMS) which is applied in a fuel cell – battery system for vehicular applications and explores the behaviour of the system under a realistic operation scenario. The EMS relies on a Hybrid Timed Automaton (HTA) combined with propositional rules and formalizes the operation of the system as it thoroughly describes the dynamic transitions between each operating state. A sensitivity analysis reveals the influence of the power distribution between the two energy sources and an optimization study determines the values of the selected operating parameters. Finally the response of the Fuel Cell Electric Vehicle (FCEV) system is assessed through a combined urban and high-way driving cycle.