Due to the accelerating pace of environmental concerns and fear of the depletion of conventional sources of energy, researchers are working on finding renewable energy sources of power for different axes of life. The transportation sector has intervened in this field and introduced hybrid electric vehicles. Many complaints have been mentioned concerning fault detection and identification in the vehicle to ensure its safety, reliability and availability. Diagnosis has not been able to overcome all these concerns, and research has shifted toward prognosis, where the manufacturing sector is urged to integrate fault prognosis in the vehicle’s electrical powertrain. In this article, prognosis of the vehicle’s electrical machine is treated using a hidden Markov model after modeling the electrical machine using the finite element method. Permanent magnet machines are preferable in this application. The modeling of the machine is a combination of the electromagnetic, thermal and vibration finite element models. The considered faults are demagnetization, turn-to-turn short circuit and eccentricity. A strategy for the calculation of the remaining useful life (RUL) is suggested when a turn-to-turn short circuit fault occurs.
Nowadays, automobile transportation is in a crisis due to the high price of gasoline and, in the future, the crises will worsen unprecedentedly. Hence, researches are oriented toward hybrid electric vehicles being a good alternative of conventional vehicles. Thus, assuring the health and proper operation of HEVs is a mission. This paper focus on the importance of HEV's permanent magnet machine fault identification where a survey of the different types of fault that may arise is illustrated, relating it to the useful parameters that should be measured and checked to detect the presence of each type of fault. The faults are classified according to their level of severity; a case study is conducted where it is shown that demagnetization of magnet is the most sever fault taking into consideration the relative cost of magnet and the occurrence percentage of demagnetization.
Index Terms -Hybrid electric vehicle, permanent magnet machine, Faults.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.