Vehicle dynamic simulations require accurate, fast, reliable, and easy-to-parameterize tire models. For this purpose, TNO developed MF-Swift in close cooperation with the technical universities of Delft and Eindhoven. MF-Swift is based on the well-known magic formula model of Pacejka but extending to higher frequencies (60–100 Hz), shorter wavelengths (>0.2 m), and rolling over obstacles by adding a rigid ring and obstacle enveloping model. During the development of MF-Swift, great emphasis was given to experimental validation using dedicated laboratory experiments. With increasing use of MF-Swift in the automotive industry, easy and reliable parameterization has become more important. Therefore, recent efforts have focused on improving the parameter identification process so that it can be conducted with little user interaction and with measurements obtained from industry common test facilities. This paper will discuss the theory behind the improved MF-Swift parameter identification process.