Advancements in Electric Vehicle Management System-Reference-Cited by-同舟云学术

Advancements in Electric Vehicle Management System

Published:2024-05-16 Issue: Volume: Page:371-391
ISSN:2328-2762
Container-title:Advances in Web Technologies and Engineering
language:
Short-container-title:

Author:

Godwin Immanuel D.¹,Solaimalai Gautam²,Chandrakala B. M.³,Bharath V. G.⁴^ORCID,Singh Mukul Kumar⁵,Boopathi Sampath⁶^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, India

2. U.S. Bank, USA

3. Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bengaluru, India

4. Vessels Engineers, Bangalore, India

5. Department of Electrical Engineering, MJP Rohilkhand University, Bareilly, India

6. Department of Mechanical Engineering, Muthayammal Engineering College, Namakkal, India

Abstract

The chapter discusses the advancement of electric vehicle (EV) management systems, emphasizing the role of machine learning and artificial intelligence in optimizing vehicle dynamics, battery management, charging infrastructure, and user preferences. These technologies can enhance performance, efficiency, and user experience by adapting to dynamic driving conditions, optimizing energy consumption, and providing personalized experiences. The chapter also addresses challenges like data privacy, computational complexity, and interoperability, suggesting solutions and highlighting the need for collaborative research initiatives and regulatory frameworks for responsible ML and AI deployment in the EV industry.

Publisher

IGI Global

Reference38 articles.

1. The role of artificial intelligence in the mass adoption of electric vehicles

2. Babu, B. S., Kamalakannan, J., Meenatchi, N., Karthik, S., & Boopathi, S. (2022). Economic impacts and reliability evaluation of battery by adopting Electric Vehicle. IEEE Explore, 1–6.

3. Electric vehicle routing problem with machine learning for energy prediction

4. Sustainable Development Using IoT and AI Techniques for Water Utilization in Agriculture

5. Boopathi, S., Gavaskar, T., Dogga, A. D., Mahendran, R. K., Kumar, A., Kathiresan, G., N., V., Ganesan, M., Ishwarya, K. R., & Ramana, G. V. (2021). Emergency medicine delivery transportation using unmanned aerial vehicle (Patent Grant).

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transforming Hospitality, Personalized Medicine, and Adaptive Learning;Advances in Medical Technologies and Clinical Practice;2024-09-27

2. Blockchain-Cloud Integration in Smart Healthcare Systems;Advances in Civil and Industrial Engineering;2024-08-30

3. Machine Learning-Driven Smart Discovery in IoT-Enabled Environments;Advances in Civil and Industrial Engineering;2024-08-30

4. Synergizing Edge Computing With Energy Storage and Grid Integration in Electric Vehicles;Advances in Mechatronics and Mechanical Engineering;2024-07-26

5. Performance Improvements of Electric Vehicles Using Edge Computing and Machine Learning Technologies;Advances in Mechatronics and Mechanical Engineering;2024-07-26