2. Experimental validation of the two-stage model

2.1 Principle

Once the model has been obtained, it must be validated experimentally to ensure that the decisions made accurately reflect reality, within an acceptable margin of error. As each fuel cell is unique, there is a set of indeterminate parameters that must be adjusted to match the model to the actual cell. Thus, validation must be repeated for each system used, even if the model has previously been validated on other cells.

Experimental validation is divided into two phases. The first involves calibrating the model's indeterminate parameters using a set of experimental data. The second step consists in verifying the results by comparing the model with another set of experimental data from the same stack, but with fixed indeterminate parameters. This...