Fault Diagnosis of the Electric Motor Drive and Battery System for Electric Vehicles

Fault detection and diagnosis (FDD) is very important for making sure that electric cars (EVs) are safe and reliable. The electric motor drive and battery system, which store energy, are important parts of the EV's power train that can go wrong in a number of ways. If you don't find and fix these problems right away, they could cause EVs to stop working and even very bad crashes. Permanent Magnet Synchronous Motors (PMSMs) and lithium-ion battery packs have gotten a lot of notice for their use in electric vehicles. Because of this, finding faults in PMSMs, their drives, and lithium-ion battery packs has become an important area of study. An accurate, quick, sensitive, and cost-effective FDD method is what it takes to be successful. Modelbased and signal-based methods are two types of traditional FDD techniques. However, data-driven techniques, such as methods based on machine learning, have recently become popular because they seem to be good at finding faults. The goal of this paper is to give a full picture of all the possible problems that can happen in EV motor drives and battery systems. It will also look at the newest, most advanced study in finding EV faults. As a useful guide for future work in this area, the knowledge given here can be used