| Title |
Implementation of Cloud-based Station Search System for Electric Vehicle Users |
| Authors |
서종관(Jongkwan Seo) ; 백상용(Sangyong Baek) ; 유명식(Myungsik Yoo) |
| DOI |
https://doi.org/10.5573/ieie.2024.61.2.7 |
| Keywords |
Electric vehicle; Charge point operator; Station search; Charge point state; Charging service |
| Abstract |
This paper presents a system that collects, preprocesses, and stores charger information from all charge point operators registered with the Korea Environment Corporation in real time and immediately delivers stations upon user request. To minimize the collection time of large amounts of data, asynchronous libraries and Kafka were used, and the data was redefined into meta, state, and log formats depending on the variable properties. In addition, we used Logstash to build a hybrid storage that stores preprocessed results in a form that is advantageous for query search in Elasticsearch and a relational database. The implemented system provides six types of search APIs and reflects convenience so that users can quickly occupy advantageous charging stations through various conditions. In addition, the response results were confirmed according to the user's request through the charging operation server. Through three types of performance evaluation, the implementation system guaranteed a processing speed of less than 1 minute. |