Optimal Design of Experiments for Measurements on SOFC Button Cells
We apply a Design of Experiments method on the electrical potential equation of SOFC button cells in order to investigate how measurements may be improved regarding the parameter estimation of our model. With the use of a genetic algorithm we optimise the information matrix of measurements, resulting in a set of optimal measuring points and respective weighing factors. A study on the spectrum of measurements is also conducted for a number of 8 up to 46 measurement points. The results show that an experiment may be improved not only by a better targeted set of measurements, but also by elimination of unnecessary measurements. The presented methodology offers a better Design of Experiments for button cell measurements, but it may also be used to develop diagnostics tools for Fuel Cell stacks and systems.