Artículo

AI on Wheels: Bibliometric Approach to Mapping of Research on Machine Learning and Deep Learning in Electric Vehicles

Resumen

The global transition to sustainable energy systems has placed the use of electric vehicles (EVs) among the areas that might contribute to reducing carbon emissions and optimizing energy usage. This paper presents a bibliometric analysis of the interconnected domains of EVs, artificial intelligence (AI), machine learning (ML), and deep learning (DL), revealing a significant annual growth rate of 56.4% in research activity. Key findings include the identification of influential journals, authors, countries, and collaborative networks that have driven advancements in this domain. This study highlights emerging trends, such as the integration of renewable energy sources, vehicle-to-grid (V2G) schemes, and the application of AI in EV battery optimization, charging infrastructure, and energy consumption prediction. The analysis also uncovers challenges in addressing information security concerns. By reviewing the top-cited papers, this research underlines the transformative potential of AI-driven solutions in enhancing EV performance and scalability. The results of this study can be useful for practitioners, academics, and policymakers.
Huang, Mengting (58109654100); Li, Jiayin (57188566760); Jiang, Min (57486315800); Shang, Chuan (58663672600); Huang, Qiqi (59490029100); Zhang, Zhang (57020777800)
A Visual Analysis of the Development and Trends of Sustainable Communities: A Survey on Technology, User Needs, and Design
2024
10.3390/su162411063
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213255785&doi=10.3390%2fsu162411063&partnerID=40&md5=c651503abe2c60fca581e1f06ddba8c1
School of Art Design and Media, East China University of Science and Technology, Shanghai, 200237, China; School of Architecture and Design, Harbin Institute of Technology, Harbin, 150001, China; School of Architecture and Urban Planning, Chongqing University, Chongqing, 400045, China; Institute for Smart City of Chongqing University in Liyang, Chongqing University, Liyang, 213300, China; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, Chongqing University, Chongqing, 400045, China
All Open Access; Gold Open Access
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