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Analysis of the airflow control of PEM fuel cell system

Małek A., Wendeker M., Taccani R.

Silniki Spalinowe

2007

R. 46, nr SC3

319-325

To compete with internal combustion engines fuel cell system must operate and function at least as well as conventional engines. The fuel cell system power properties depends on the air and hydrogen feed, flow and pressure regulation, and heat and water management. Choosing an airflow control method is very important decision that defines many characteristics of the fuel cell system. The air supply method of the cathode side of the fuel cell can contribute to improvement of the system performance. A fuel cell is a stochastic object. Application gradient extremum control provides to automatical adjusting the parameters of a controller to actual characteristics of an object. In this paper was described airflow control of the fuel cell system in order to determine and hold the maximal value of net power produced by the fuel cell stack, regardless of changes of the parameters of the object of control and its outer environment. The presented control algorithm can be used for other types of fuel cells systems of both high and low power.

Extremum air flow control for PEM fuel cell system

Małek A., Wendeker M.

Journal of KONES

2006

Vol. 13, No. 4

325-332

The air supply method of the cathode side of the fuel cell can contribute to improvement of the system performance. A fuel cell is a stochastic object. Application an adaptive extremum control with bi-parameter identification provides to automatical adjusting the parameters of a controller to actual characteristics of an object. In this paper was described air flow control of the fuel cell in order to determine and hold the maximal value of net power produced by the fuel cell stack, regardless of changes of the parameters of the object of control and its outer environment. The presented control algorithm can be used for other types of fuel cells systems of both high and low power. Proposed algorithm control can be used in other systems of fuel cells , both small as and high-power. Research confirmed the possibility of the use of the extreme control for finding of points work of fuel cell with the maximum power net. The algorithm containing the function of the adaptation was in a position to realize put aim control. If the adaptive algorithm in its basic form is in a position to learn and realize put aim control then the further heuristic extension of the algorithm can only improve it activity. Further possibilities of the development stand before the adaptive algorithm which uses the information a'priori on the characterization of the control object .