Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data

논문 및 특허 데이터를 활용한 전기자동차 기술 동향 예측 연구

  • 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)
  • 구자욱 (아주대학교 신산업융합기술연구센터) ;
  • 이종호 (아주대학교 신산업융합기술연구센터) ;
  • 정명석 (아주대학교 신산업융합기술연구센터) ;
  • 이주연 (아주대학교 신산업융합기술연구센터)
  • Received : 2017.01.02
  • Accepted : 2017.02.20
  • Published : 2017.02.28
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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.

본 논문에서는 전기자동차를 주제로 SCIE 및 SSCI 저널에 게재한 논문데이터를 활용한 시계열 분석과 국제특허분류(International patent classification, 이하 IPC) 별 특허 데이터를 활용한 시계열 분석과 노드엑셀을 활용한 네트워크 분석을 통해 2001년에서 2014년까지의 전기자동차의 기술 동향을 파악하고 특허와 논문 데이터의 상관관계 분석을 통하여 기술 동향을 분석하였다. 또한 예측기법 중 하나인 가중이동평균법으로 전기자동차의 유망 요소기술을 예측하였다. 본 연구의 결과 전기자동차 요소기술 중 배터리 기술이 유망한 기술로 나타났다.

Keywords

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