IAV continues to apply dynamic-modeling techniques to engine calibration, considering the time-varying nature of input and output values in a system. With multiple solutions extracted from the same set of data, the transient engine-behavior models drive the systematic method-development for the calibration. While parallels exist between steady-state and dynamic methods, the dynamic approach is more complex, according to IAV. Dynamic design of experiments (DoE) increase test-cell measurement complexity along with the quantity of data produced. The engine-operating boundaries vary, and combinations of the input parameters are addressed in the process. To achieve the best model quality, IAV excites the system with multi-input chirps. The fully dynamic experiments consider amplitude distribution, frequency distribution, and engine-operating boundaries; IAV integrates dynamic DoE tools into the process chain, into documentation, and by assisting with the development of new fields for the application.