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http://dx.doi.org/10.14400/JDC.2017.15.2.165

Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data  

Gu, Ja-Wook (New industry convergence technology R&D center, Ajou university)
Lee, Jong-Ho (New industry convergence technology R&D center, Ajou university)
Chung, Myoung-Sug (New industry convergence technology R&D center, Ajou university)
Lee, Joo-yeoun (New industry convergence technology R&D center, Ajou university)
Publication Information
Journal of Digital Convergence / v.15, no.2, 2017 , pp. 165-172 More about this Journal
Abstract
In this paper, we analyze the research / technology trends of electric vehicles from 2001 to 2014, through keyword analysis using paper data published in SCIE or SSCI Journal on electric vehicles, time series analysis using patent data by IPC, and network analysis using nodeXL. also we predicted promising technologies of electric vehicles using one of the prediction methods, weighted moving average method. As a result of this study, battery technology among the electric vehicle component technologies appeared as a promising technology.
Keywords
Electric vehicle; Patent trend; Trend analysis; Network analysis; Trend forecast;
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Times Cited By KSCI : 4  (Citation Analysis)
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