Fuel cell designers and system manufacturers face the challenge of interpreting large volumes of experimental data in order to design and optimize their products. This webinar focuses on how data can be processed to uncover precision details of cell, stack and system performance. The complementary use of experimental data and validated mathematical models in the life cycle of fuel cell system design brings to light design limitations and provides a basis for more effective experimentation and optimization.