Title: Energetic macroscopic representation and inversion based control of fuel cell in a series hybrid race vehicle system
Authors: Zainab Asus; El-Hassane Aglzim; Daniela Chrenko; Luis Le Moyne
Addresses: Faculty of Engineering, School of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia ' DRIVE Laboratory, University of Burgundy, 49 rue Mademoiselle Bourgeois, 58000 Nevers, France ' University of Belfort-Montbéliard, FEMTO-ST Laboratory, 90010 Belfort, France ' DRIVE Laboratory, University of Burgundy, 49 rue Mademoiselle Bourgeois, 58000 Nevers, France
Abstract: This paper studies the replacement of engine and generator as range extender in a hybrid racing car with a fuel cell system. A model of the original system of the car using range extender consisting of an internal combustion engine and electric generator has been developed respecting the action-reaction principle used by energetic macroscopic representation (EMR) and its inversion based control (IBC) to organise its subsystems interconnection according to the physical causality. Results from drive tests of the real car on racing circuit are used to validate the model. The objective of this paper is to study the parameterisation and the integration of fuel cell stack components based on this model. First diagnosis on applicability of a control strategy as well as the improvements that can be effected by implementing a fuel cell system can be obtained using this model.
Keywords: hybrid vehicle; fuel cell; control strategy; energetic macroscopic representation; modelling; simulation.
International Journal of Electric and Hybrid Vehicles, 2020 Vol.12 No.3, pp.197 - 213
Received: 13 Dec 2019
Accepted: 23 Jan 2020
Published online: 25 Sep 2020 *