The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Identifying Daily and Weekly Charging Profiles of Electric Vehicle Users in Korea : An Application of Sequence Analysis and Latent Class Cluster Analysis

전기차 이용자의 일단위 및 주단위 충전 프로파일 유형화 분석 : 순차패턴분석과 잠재계층분석을 중심으로

  • Jae Hyun, Lee (Dept. of Geography., Kyungpook National University) ;
  • Seo Youn, Yoon (Division of National Infrastructure Research, Korea Research Institute for Human Settlements)
  • 이재현 (경북대학교 지리학과) ;
  • 윤서연 (국토연구원 국토인프라연구본부)
  • Received : 2022.10.24
  • Accepted : 2022.12.07
  • Published : 2022.12.31
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Abstract

The user-centered EV charging infrastructure construction policy the government is aiming for can increase convenience for electric vehicle users and bring new electric vehicle users into the market. This study was conducted to provide an in-depth understanding of the charging behaviors of actual electric vehicle users, which can be used as basic information for the electric vehicle charging infrastructure. Based on charging diary data collected for a week, the charging of electric vehicles was analyzed on a daily and weekly basis, and sequence analysis and latent class analysis were used. As a result, five daily charging profiles and four weekly charging profiles were identified, which are expected to contribute to revitalizing the electric vehicle market by providing key information for decision-making by potential electric vehicle users as well for establishing user-centered charging infrastructure policies in the future.

최근 정부가 지향하고 있는 이용자 중심의 충전인프라 구축방향은 실제 전기차 이용자들의 편의를 높이며, 새로운 전기차 이용자를 시장으로 유입할 수 있는 중요한 정책이다. 본 연구는 이러한 정책의 수립에 기초자료로 활용될 수 있는 실제 전기차 이용자들의 충전행태에 대한 깊이 있는 이해를 제공하는 것을 목적으로 수행되었다. 일주일 동안 수집된 충전일지 자료에 기반하여 전기차 이용자들의 충전행태를 일단위 및 주단위로 분석하였으며, 순차패턴 분석과 잠재계층 분석을 활용하였다. 그 결과, 5가지 일단위 충전 프로파일과 4가지 주단위 충전 프로파일을 도출하였으며, 이는 향후 이용자 중심 충전인프라 정책 수립뿐만 아니라 잠재 전기차 이용자들의 의사결정에 핵심적인 정보를 제공하여 전기차 시장을 활성화하는데도 기여할 것으로 판단된다.

Keywords

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