Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification-Reference-Cited by-同舟云学术

Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification

Published:2024 Issue: Volume:12 Page:71566-71584
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ul Islam Khan Mahbub¹^ORCID,Pathan Md. Ilius Hasan¹,Mominur Rahman Mohammad²^ORCID,Islam Md. Maidul³^ORCID,Arfat Raihan Chowdhury Mohammed⁴,Anower Md. Shamim⁵^ORCID,Rana Md. Masud⁵^ORCID,Alam Md. Shafiul⁶^ORCID,Hasan Mahmudul⁷^ORCID,Sobuj Md. Shohanur Islam¹^ORCID,Islam Md. Babul⁸^ORCID,Meena Veerpratap⁹,Benedetto Francesco¹⁰^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh

2. Information and Computing Technology Division, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

3. Department of Electrical and Electronic Engineering, Green University of Bangladesh, Dhaka, Bangladesh

4. Department of Logistics and Supply Chain Management, Division of Engineering and Decision Science, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

5. Department of Electrical and Electronic Engineering, Rajshahi University of Engineering and Technology (RUET), Rajshahi, Bangladesh

6. Applied Research Center for Environment and Marine Studies, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

7. Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh

8. Department of DIMES, University of Calabria, Cosenza, Italy

9. Department of Electrical and Electronics Engineering, Amrita School of Engineering Bengaluru, Amrita Vishwa Vidyapeetham, Bengaluru, India

10. Economics Department, SP4TE—Signal Processing for Telecommunications and Economics Laboratory, Roma Tre University, Rome, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10530324.pdf?arnumber=10530324

Reference64 articles.

1. Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review

2. Interruptible charge scheduling of plug-in electric vehicle to minimize charging cost using heuristic algorithm

3. Technical Assessment of Plug-In Hybrid Electric Vehicle Charging Scheduling for Peak Reduction

4. Fault Diagnosis Methods and Fault Tolerant Control Strategies for the Electric Vehicle Powertrains

5. Fault Diagnosis in Hybrid Electric Vehicle Regenerative Braking System

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