STUDY OF PERMANENT MAGNET SYNCHRONOUS MOTOR DEMAGNETIZATION FAULT DETECTION USING SIGNAL ANALYSIS TECHNIQUES

Due to its obvious advantages, there is no doubt that Electric vehicles are gaining huge popularity. Thats due to the advantages of electric vehicles when compared to the traditional ICE vehicles. On the other hand, and as electric vehicles are still machines built by human beings, the EVs have several components that can be faulty and affect the vehicle performance and maybe in some stages lead to severe failures or life threatening. These components are mainly the battery, electric motor and controllers. So, many studies focused on studying the electric vehicles components fault detection in the early stages. In this paper, we will focus on one of the most common motor types, the permanent magnet synchronous motors. One of the common PMSM faults related to the rotor is the demagnetization. This fault will be extensively studied using two of the signal analysis method techniques: the output torque and the stator current signal analysis. Using the MATLAB SimuLink, a complete model of the PMSM will be built and the uniform demagnetization fault will be introduced. Then, a comparison between both torque and current signatures will be presented to put our hands on the ability of these techniques to identify the uniform demagnetization fault.