Differential Flatness Based-Control Strategy of a Two-Port Bidirectional Supercapacitor Converter for Hydrogen Mobility Applications
Phatiphat Thounthong,
Matheepot Phattanasak,
Damien Guilbert,
Noureddine Takorabet,
Serge Pierfederici,
Babak Nahid-Mobarakeh,
Nicu Bizon and
Poom Kumam
Additional contact information
Phatiphat Thounthong: Department of Teacher Training in Electrical Engineering, Renewable Energy Research Centre (RERC), Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand
Matheepot Phattanasak: Department of Teacher Training in Electrical Engineering, Renewable Energy Research Centre (RERC), Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand
Damien Guilbert: Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine, GREEN, F-54000 Nancy, France
Noureddine Takorabet: Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine, GREEN, F-54000 Nancy, France
Serge Pierfederici: Laboratoire d’Energétique et de Mécanique Théorique et Appliquée (LEMTA), Université de Lorraine, CNRS, LEMTA, F-54000 Nancy, France
Babak Nahid-Mobarakeh: Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
Nicu Bizon: Faculty of Electronics, Communication and Computers, University of Pitesti, 110040 Pitesti, Romania
Poom Kumam: Faculty of Science, Department of Mathematics, KMUTT Fixed Point Research Laboratory, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand
Energies, 2020, vol. 13, issue 11, 1-24
Abstract:
This article is focused on an original control approach applied to a transportation system that includes a polymer electrolyte membrane fuel cell (PEMFC) as the main energy source and supercapacitors (SC) as the energy storage backup. To interface the SC with the DC bus of the embedded network, a two-port bidirectional DC-DC converter was used. To control the system and ensure its stability, a reduced-order mathematical model of the network was developed through a nonlinear control approach employing a differential flatness algorithm, which is an attractive and efficient solution to make the system stable by overcoming the dynamic issues generally met in the power electronics networks of transportation systems. The design and tuning of the system control were not linked with the equilibrium point at which the interactions between the PEMFC main source, the SC energy storage device, and the loads are taken into consideration by the proposed control law. Besides this, high dynamics in the load power rejection were accomplished, which is the main contribution of this article. To verify the effectiveness of the developed control law, a small-scale experimental test rig was realized in the laboratory and the control laws were implemented in a dSPACE 1103 controller board. The experimental tests were performed with a 1 kW PEMFC source and a 250 F 32 V SC module as an energy storage backup. Lastly, the performances of the proposed control strategy were validated based on real experimental results measured during driving cycles, including motoring mode, ride-though, and regenerative braking mode.
Keywords: differential flatness control; energy management strategy; fuel cell; supercapacitors; stability; transportation systems; electric vehicles (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/13/11/2794/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/11/2794/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:11:p:2794-:d:365939
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().