A Novel Interturn Fault Identification Solution for BLDC Motor Based Ev System

Electric vehicles (EV) are promoted highly in the present scenario to reduce carbon emission. Brushless DC motors are more adaptable in EV system as it offers high efficiency and consumes less power. Thus, for the safe and stable operation of EV system the healthy operation of BLDC motor is essential. The BLDC may fail due to several reasons and the identification of same on time is essential to retain the stable operation of EV connected system. Interturn fault in the BLDC motor is a common case which can be detected on time. Among the various events interturn fault (ITF) is one of the many failures. To identify this case, in this paper a novel technique is proposed. Current signals are used for fault identification. The method is tested for other critical conditions like with the presence of noise, under vibrations etc. this makes this method useful to other power train components.