Optical FBG-T Based Fault Detection Technique for EV Induction Machines

Abstract Electric vehicles (EV) represent a key technology to achieve low-carbon transportation objective, whist induction motors are one of the promising topologies. The reliability these machines is crucial minimize downtime, cost and unwanted human lives. Although several techniques utilized in condition monitoring fault detection electrical machines, there still no single technique that provides an all-round solution thus hybrid used widely. This paper presents novel non-invasive optical fiber process detecting inter-turn short circuit faults. Owing fiber’s immunity magnetic flux, composite FBG-T sensor formed by bonding giant magnetostrictive transducer, Terfenol-D, onto Bragg grating sense machines’ stray flux as signature determine internal winding machines. A tri-axial auto datalogging meter was obtain test results obtained via LabView were analyzed MatLab. Experimental numerical agree with each other how accurately reliably detected short-circuit shifts observed under faults 100s picometre range various operating frequencies compared mid-10s healthy machine condition. These provide much promise for future EVs.