PEM Fuel Cell Stack Model Development for Real-Time Simulation Applications

2011 ◽  
Vol 58 (9) ◽  
pp. 4217-4231 ◽  
Author(s):  
Jee-Hoon Jung ◽  
S. Ahmed ◽  
P. Enjeti
Author(s):  
Meranda Salem ◽  
Tuhin Das ◽  
Xiang Chen ◽  
Shankar Akella ◽  
Shiva Sivashankar

In a competitive world, using real-time simulation rather than off-line simulation provides significant advantage for imitating system dynamics in a real world. Real-time simulation could minimize decision risks for real implementation, shorten design cycle, enhance reliability of research results, and, last but not least, save research and development cost. Moreover, real-time simulation could be also implemented to include real hardware into the loop while is kept as flexible as an off-line numerical simulation. In this paper, a real time simulation mechanism is presented for studying switch reluctance motor (SRM) drive control powered by a fuel cell. The fuel cell stack model is simulated by a software package developed by Emmeskay, Inc., which can be operated in real time. The whole real time simulation is conducted on a two-node platform hosted by RT-Lab, a software product of Opal-RT Technologies, Inc. and engineered by fixed-step real time operating system. In particular, as an illustrating example, an SRM drive control model is first built and then connected with fuel cell stack model. The whole system model is then compiled and operated in real-time on the two-node platform. The real-time simulation result is validated by its off-line simulation counterpart. It is pointed out that this real-time simulation set-up could be easily converted into a hardware-in-the-loop (HIL) simulation carrying real hardware such as microcontroller, real motor, etc., when deemed as necessary. The simulation methodology presented in this paper also indicates a potential low cost approach to support experimentally real-time research and development activities for fuel cell related systems. Considering the high cost to build a real fuel cell system, the set-up described in this paper is extremely meaningful for research and development communities.


2018 ◽  
Vol 226 ◽  
pp. 570-581 ◽  
Author(s):  
Rui Ma ◽  
Chen Liu ◽  
Elena Breaz ◽  
Pascal Briois ◽  
Fei Gao

2018 ◽  
Vol 174 ◽  
pp. 983-997 ◽  
Author(s):  
Rui Ma ◽  
Chen Liu ◽  
Zhixue Zheng ◽  
Franck Gechter ◽  
Pascal Briois ◽  
...  

Author(s):  
Panini Kolavennu ◽  
Susanta K. Das ◽  
K. Joel Berry

A robust control strategy which ensures optimum performance is crucial to proton exchange membrane (PEM) fuel cell development. In a PEM fuel cell stack, the primary control variables are the reactant’s stochiometric ratio, membrane’s relative humidity and operating pressure of the anode and cathode. In this study, a 5 kW (25-cell) PEM fuel cell stack is experimentally evaluated under various operating conditions. Using the extensive experimental data of voltage-current characteristics, a feed forward control strategy based on a 3D surface map of cathode pressure, current density and membrane humidity at different operating voltages is developed. The effectiveness of the feed forward control strategy is tested on the Green-light testing facility. To reduce the dependence on predetermined system parameters, real-time optimization based on extremum seeking algorithm is proposed to control the air flow rate into the cathode of the PEM fuel cell stack. The quantitative results obtained from the experiments show good potential towards achieving effective control of PEM fuel cell stack.


Sign in / Sign up

Export Citation Format

Share Document