Improving Electric Vehicle Charger Utilization By Dynamic Pricing

カテゴリ: 研究会(論文単位)

論文No: CMN25029

グループ名: 【C】電子・情報・システム部門 通信研究会

発行日: 2025/02/28

タイトル(英語): Improving Electric Vehicle Charger Utilization By Dynamic Pricing

著者名: Verma Rajat(Hitachi India Private limited),Kumar K R Sheetal(Hitachi India Private limited)

著者名(英語): Rajat Verma(Hitachi India Private limited),Sheetal Kumar K R(Hitachi India Private limited)

キーワード: EV charging|dynamic discount|co-located merchant|EV charging|dynamic discount|co-located merchant

要約(日本語): The rapid growth of electric vehicles (EVs) has led to an increase in charging stations (1). However, their utilization remains low due to several factors like a.) poor customer experiences due to long waiting times in queues at peak charging hours b.) al

要約(英語): The rapid growth of electric vehicles (EVs) has led to an increase in charging stations (1). However, their utilization remains low due to several factors like a.) poor customer experiences due to long waiting times in queues at peak charging hours b.) alternative charging facilities like at home charging, subsidized corporate charging etc. Due to low charger utilization the revenue of the Charge Point Operators is low. To resolve the problem of “low public charger utilization”, a data driven ‘EV Customer engagement’ approach that incentivizes EV riders for charging is proposed. This is done by predicting charging demand and using demand based dynamic tariffs and dynamic charge duration to encourage charging during low utilization periods and limit charging during high demand periods. In this research, the charging demand for a specific hour of the day is predicted using XGBoost machine learning algorithm and charging tariff is optimized as per demand to improve the revenue. To achieve maximum revenue for the merchants, optimal charging tariffs and durations were obtained using Genetic Algorithm (GA). The results show that the merchants’ revenue is increased by about 10 % using the dynamic tariff approach and charger utilizations by 8 %._x000D_ _x000D_ _x000D_

本誌: 2025年3月3日-2025年3月4日通信研究会

本誌掲載ページ: 41-45 p

原稿種別: 英語

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