With the recent advancements of the fourth industrial revolution, many sensors are implemented into the products that collect the data and monitor their performance. The measurement data can be stored with the numerical models as a digital twin, and these can serve as a virtual replica of a physical object or process. These digital twins can improve the design and optimization process. The paper uses an open-source tool, the Digital-Twin-Distiller, which can encapsulate the realized finite element analysis of a model into a web application, which can be integrated easily into an optimization chain or any other business process. The paper proposes a numerical model and cogging torque analysis of an interior permanent magnet synchronous machine. The paper examines the effect of two parameters of the magnet groove shape on the cogging torque of the Prius 2004 motor model. It was found that the cogging torque of the motor is highly dependent on the shape of the flux barrier, even with minor changes. On the other hand, the wedge between the two magnets does not affect cogging torque much.