State-of-the-Art Technologies in Fault Diagnosis of Electric Vehicles: A Component-Based Review

被引:35
作者
Choudhary, Anurag [1 ]
Fatima, Shahab [2 ]
Panigrahi, B. K. [3 ]
机构
[1] IIT Delhi, Sch Interdisciplinary Res SIRe, New Delhi 110016, India
[2] IIT Delhi, Ctr Automot Res & Tribol, New Delhi 110016, India
[3] IIT Delhi, Dept Elect Engn, New Delhi 110016, India
关键词
Battery fault; condition monitoring (CM); converter faults; electric vehicle (EV) motor; fault detection; DC-DC CONVERTERS; SUPPORT VECTOR MACHINE; LITHIUM-ION BATTERIES; INDUCTION-MOTOR; NEURAL-NETWORK; FAILURE-MECHANISM; ROTATING MACHINERY; RELUCTANCE MOTOR; TOLERANT CONTROL; POWER BATTERIES;
D O I
10.1109/TTE.2022.3209166
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:2324 / 2347
页数:24
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