TY - JOUR
T1 - Development of a Multiphysical 2-D Model of a PEM Fuel Cell for Real-Time Control
AU - Zhou, Daming
AU - Gao, Fei
AU - Al-Durra, Ahmed
AU - Breaz, Elena
AU - Ravey, Alexandre
AU - Miraoui, Abdellatif
N1 - Funding Information:
Manuscript received November 22, 2017; revised February 25, 2018 and April 24, 2018; accepted April 27, 2018. Date of publication May 20, 2018; date of current version September 17, 2018. Paper 2017-IACC-1489.R2, presented at the 2017 IEEE Industry Applications Society Annual Meeting, Cincinnati, OH, USA, Oct. 1–5, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Industrial Automation and Control Committee of the IEEE Industry Applications Society. This work was supported by the European Commission H2020 Grant ESPESA (H2020-TWINN-2015), No. 692224. (Corresponding author: Daming Zhou.) D. Zhou, F. Gao, A. Ravey, and A. Miraoui are with FEMTO-ST (UMR CNRS 6174), Energy Department and FCLAB (FR CNRS 3539), University of Bourgogne Franche-Comte, University of Technology of Belfort-Montbéliard, Belfort Cedex F-90010, France (e-mail:,[email protected]; [email protected]; [email protected]; [email protected]).
Funding Information:
This work was supported by the European Commission H2020 Grant ESPESA (H2020-TWINN-2015), No. 692224.
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - This paper presents a computationally efficient two-dimensional (2-D) steady-state model for fuel cell real-time control implementation. Both the fluid and electrochemical physical domains are considered in the proposed real-time model. The fuel cell under-rib convection is fully described by considering the geometry of serpentine channel. In addition, in order to solve the implicit activation voltage loss and further explore the computational performance, three numerical root-searching algorithms: bisection, secant, and Newton-Raphson methods are applied to the proposed implicit iterative solver and compared. The preferred secant method has been proven to effectively improve both the efficiency and robustness performance of the proposed real-time fuel cell model. Moreover, a computational fluid dynamic based COMSOL fuel cell model is used to validate the calculation accuracy. Furthermore, the practical feasibility of the presented real-time model has been verified using an RT-LAB simulator platform from Opal-RT.
AB - This paper presents a computationally efficient two-dimensional (2-D) steady-state model for fuel cell real-time control implementation. Both the fluid and electrochemical physical domains are considered in the proposed real-time model. The fuel cell under-rib convection is fully described by considering the geometry of serpentine channel. In addition, in order to solve the implicit activation voltage loss and further explore the computational performance, three numerical root-searching algorithms: bisection, secant, and Newton-Raphson methods are applied to the proposed implicit iterative solver and compared. The preferred secant method has been proven to effectively improve both the efficiency and robustness performance of the proposed real-time fuel cell model. Moreover, a computational fluid dynamic based COMSOL fuel cell model is used to validate the calculation accuracy. Furthermore, the practical feasibility of the presented real-time model has been verified using an RT-LAB simulator platform from Opal-RT.
KW - Calculation accuracy
KW - computationally efficient
KW - implicit activation voltage loss
KW - numerical root-searching algorithms
KW - under-rib convection
UR - http://www.scopus.com/inward/record.url?scp=85047225603&partnerID=8YFLogxK
U2 - 10.1109/TIA.2018.2839082
DO - 10.1109/TIA.2018.2839082
M3 - Article
AN - SCOPUS:85047225603
SN - 0093-9994
VL - 54
SP - 4864
EP - 4874
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
IS - 5
M1 - 8361833
ER -
