학술논문

State-of-the-Art Technologies in Fault Diagnosis of Electric Vehicles: A Component-Based Review
Document Type
Periodical
Source
IEEE Transactions on Transportation Electrification IEEE Trans. Transp. Electrific. Transportation Electrification, IEEE Transactions on. 9(2):2324-2347 Jun, 2023
Subject
Transportation
Aerospace
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Fault diagnosis
Maintenance engineering
Electric motors
Batteries
Condition monitoring
Electric vehicles
Fault detection
Battery fault
condition monitoring (CM)
converter faults
electric vehicle (EV) motor
fault detection
Language
ISSN
2332-7782
2372-2088
Abstract
Electric vehicle (EV) is crucial for future transportation which will improve fuel economy and contributes toward the reduction of emissions. EVs are becoming an increasingly integrated component of transportation in order to fulfill ever-increasing demands for improved performance with safety and reduced environmental impact. Therefore, to increase the efficiency and reduce the maintenance cost of these vehicles, an early fault diagnosis (FD) system is essential. This enables early detection for deterioration of the vehicle’s health, alleviating a proactive solution and reducing the sudden component breakdown. Keeping the need for further research in mind, this article provides a comprehensive review of the state-of-the-art condition monitoring (CM) and FD strategies for various components of EVs. The challenges and suggestions for future work on emerging technology in an EV are also addressed to promote further targeted research activities based on the current needs.