State of the Art Technologies in Fault Diagnosis of Electric Vehicles: A Component-Based Review-Reference-Cited by-同舟云学术

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

Published:2022 Issue: Volume: Page:1-1
ISSN:2332-7782
Container-title:IEEE Transactions on Transportation Electrification
language:
Short-container-title:IEEE Trans. Transp. Electrific.

Author:

Choudhary Anurag¹^ORCID,Fatima Shahab²^ORCID,Panigrahi B. K.³^ORCID

Affiliation:

1. School of Interdisciplinary Research (SIRe), Indian Institute of Technology Delhi, New Delhi, India

2. Centre for Automotive Research and Tribology, Indian Institute of Technology Delhi, India

3. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6687316/7098407/09900355.pdf?arnumber=9900355

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2. A Review of Modern Electric Vehicle Innovations for Energy Transition;Energies;2024-06-13

3. An Efficient Double Deep Q Learning Network-Based Soft Faults Detection and Localization in Analog Circuits;Journal of Circuits, Systems and Computers;2024-06-10

4. Machine learning-driven modeling for soil organic carbon estimation from multispectral drone imaging: a case study in Corvera, Murcia (Spain);Modeling Earth Systems and Environment;2024-03-06

5. Fault Detection and Failure Rate Analysis of New Energy Vehicles Based on Decision Tree Algorithm;Applied Mathematics and Nonlinear Sciences;2024-01-01

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