Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Abnormality Detection Control System using Charging Data

충전데이터를 이용한 이상감지 제어시스템

  • Moon, Sang-Ho (Department of Computer Engineering, Busan University of Foreign Studies)
  • Received : 2021.12.14
  • Accepted : 2022.01.03
  • Published : 2022.02.28
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Abstract

In this paper, we implement a system that detects abnormalities in the charging data transmitted from the charger during the charging process of electric vehicles and controls them remotely. Using classification algorithms such as logistic regression, KNN, SVM, and decision trees, to do this, an analysis model is created that judges the data received from the charger as normal and abnormal. In addition, a model is created to determine the cause of the abnormality using the existing charging data based on the analysis of the type of charger abnormality. Finally, it is solved using unsupervised learning method to find new patterns of abnormal data.

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Acknowledgement

This paper was supported by Ministry of Science and ICT/National Information Society Agency (Convention No. 2021-Data-We 144).

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