ABSTRACT
The dynamic behavior of a fuel cell can be obtained from experimental measurements or from sound physical models. Typically, the measured behavior of the fuel cell only applies to the particular cell being measured. However, the physical models can apply to various fuel cell systems and the physical models can be tuned to a particular fuel cell to predict its behavior under different operating conditions. By developing a physically based dynamic model, the transient behavior of a fuel cell can be accurately predicted and the design envelopes can be optimized. The dynamic model is especially beneficial for control testing in the development stage of the fuel cell. Hence, there is great interest in developing dynamic models. In this chapter, methods employed in the dynamic simulation of fuel cell systems are described. The MATLAB® simulation models are discussed for PEMFC and MCFC fuel cell-based hybrid power systems. Control strategies including advanced neural network and fuzzy logic application on control systems are presented.
