scholarly journals On-Line EIS Measurement for High-Power Fuel Cell Systems Using Simulink Real-Time

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6133
Author(s):  
Soo-Bin Han ◽  
Hwanyeong Oh ◽  
Won-Yong Lee ◽  
Jinyeon Won ◽  
Suyong Chae ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Power Systems ◽  
Real Time ◽  
High Power ◽  
Impedance Measurement ◽  
Virtual Space ◽  
Cell Systems ◽  
Physical Systems ◽  
Research Areas ◽  
On Line

Impedance measurements by EIS are used to build a physical circuit-based model that enables various fault diagnostics and lifetime predictions. These research areas are becoming increasingly crucial for the safety and preventive maintenance of fuel cell power systems. It is challenging to apply the impedance measurement up to commercial applications at the field level. Although EIS technology has been widely used to measure and analyze the characteristics of fuel cells, EIS is applicable mainly at the single-cell level. In the case of stacks constituting a power generation system in the field, it is difficult to apply EIS due to various limitations in the high-power condition with uncontrollable loads. In this paper, we present a technology that can measure EIS on-line by injecting the perturbation current to fuel cell systems operating in the field. The proposed EIS method is developed based on Simulink Real-Time so that it can be applied to embedded devices. Modeling and simulation of the proposed method are presented, and the procedures from the simulation in virtual space to the real-time application to physical systems are described in detail. Finally, actual usefulness is shown through experiments using two physical systems, an impedance hardware simulator and a fuel cell stack with practical considerations.

Operational optimization and real-time control of fuel-cell systems

2009 ◽  
Vol 193 (1) ◽  
pp. 258-268 ◽  
Author(s):  
J. Hasikos ◽  
H. Sarimveis ◽  
P.L. Zervas ◽  
N.C. Markatos
Keyword(s):  
Fuel Cell ◽  
Real Time ◽  
Real Time Control ◽  
Cell Systems ◽  
Time Control ◽  
Operational Optimization

Research on On-Line Oil Monitoring System for High Power Mining Gearbox

2011 ◽  
Vol 130-134 ◽  
pp. 2600-2603
Author(s):  
Xue Wen Huang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
High Power ◽  
Initial Application ◽  
System A ◽  
On Line ◽  
Analysis System ◽  
Oil Monitoring ◽  
Level Monitoring ◽  
Wear Condition

In order to realizing real-time on-line oil monitoring for high-power gearbox’s wear state during operation, a monitoring system is developed on the basis of the ferrograph sensors in this paper. By means of a multi-level monitoring system, a real-time remote monitoring and analysis system of unattended machine wear condition is achieved which can real-time display the image of the wear particles and the wear information of the gears, thus getting such advantages as timely notice and warning, reducing equipment’s damage and maintenance costs . The initial application of system on the real machine shows good results and effects.

Dynamic Test and Real-time Control Platform of Anode Recirculation for PEM Fuel Cell Systems

2006 ◽  
Vol 3 (3) ◽  
pp. 333-345 ◽  
Author(s):  
Cheng Bao ◽  
Kexun Zhang ◽  
Minggao Ouyang ◽  
Baolian Yi ◽  
Pingwen Ming
Keyword(s):  
Neural Network ◽  
Fuel Cell ◽  
Real Time ◽  
Test Bench ◽  
Future Application ◽  
Real Time Control ◽  
Cell Systems ◽  
Time Control ◽  
Injection Pump ◽  
Wide Range

Anode recirculation is essential to the pure-hydrogen proton exchange membrane fuel cell system. Keeping the pressure difference between the anode and the cathode is also important to the membrane health. In this paper, a dynamic platform was designed for the recirculation test of injection pump and real-time control of the anode pressure tracking. The test bench can work in a wide range of conditions for high- and low-pressure application. Based on the MATLAB/xPC Target environment, some S functions were written to drive the PC board for the hardware-in-loop application. Then an analytical full-order and a reduced-order model were built with good accuracy. By linearization of the nonlinear dynamic model, a linear quadratic Gaussian algorithm based on state feedback was used for set-point tracking. Moreover, an adaptive fuzzy neural network with an on-line neural network identifier was also designed to improve the control robustness. The foundation of the test bench and realization of the real-time control algorithms are meaningful to the future application in fuel cell systems.

Development and Realization of a Computer Monitoring System Based on a Power Network

2020 ◽  
Vol 13 ◽  
Author(s):  
Qin Qin
Keyword(s):  
Power Systems ◽  
Data Acquisition ◽  
Electric Power ◽  
Real Time ◽  
Large Scale ◽  
Time Data ◽  
Power Enterprise ◽  
Reliable Performance ◽  
On Line ◽  
State Index

Background:: To solve an electric power enterprise for a safe operation of power systems. Methods:: A data acquisition technology based on multi-thread mechanism of data collection technology is proposed; its application may provide data acquisition rate of 1832/min and update cycle of approximately 30 s to ensure efficient and reliable performance on a large-scale electric power real-time data acquisition. Results:: A power state index diagnosis algorithm is designed. Conclusion:: The on-line real-time diagnosis of the current operating state for power system is realized, and its importance is given.

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