Axial Flux Permanent Magnet (AFPM) machines have attracted significant interest in the field of electric traction due to their high torque and power density, compact structure, and suitability for direct-drive applications. Nevertheless, accurate performance prediction of AFPM machines typically requires high-fidelity simulation techniques, such as three-dimensional Finite Element Analysis (3D FEA), which are computationally expensive and time-consuming. Such methods are not always practical during the early design stages or when rapid optimization is required. This thesis investigates the development and validation of simplified modeling approaches for the performance prediction of AFPM machines. Two modeling approaches are considered. The first is a two-dimensional Finite Element Modelling approach, specifically the Linear Motor Modelling Approach (LMMA), in which the AFPM machine is represented through an equivalent linear geometry.