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The analysis of electric vehicle integration based on big data technology
- 1 New York University
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Abstract
The potential of electric vehicles (EVs) to reduce greenhouse gas emissions in the transportation sector has given the adoption of EVs a considerable boost in recent years. Concurrently, the field of big data analytics has witnessed exponential growth, providing unprecedented opportunities for extracting valuable insights and optimizing various industrial sectors. This paper presents a comprehensive overview of the intersection between electric vehicles and big data analysis. Various EV-related data sources are explored along with the discussion of data computing platforms. Followed by this, this paper analyzes different use cases of big data analysis in EVs, covering key areas such as energy management, charging infrastructure optimization, and vehicle condition monitoring, which demonstrates how big data can be crucial for the successful integration of EVs into green smart cities. Finally, the author provides future research insight and opportunities for the use of big data techniques in EV adoptions. In particular, this paper serves as a roadmap for future research in the area of data analytics in EV integration.
Keywords
big data, electric vehicles, data analysis, EV integration, energy
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Cite this article
Chen,X. (2023). The analysis of electric vehicle integration based on big data technology. Applied and Computational Engineering,22,8-13.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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