イブキ タツヤ
IBUKI TATSUYA
伊吹 竜也 所属 明治大学 理工学部 職種 専任准教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2022/09 |
形態種別 | 学術雑誌 |
査読 | 査読あり |
標題 | Risk-Aware Energy Management for Drive Mode Control in Plug-in Hybrid Electric Vehicles |
執筆形態 | 共著(筆頭者以外) |
掲載誌名 | IEEE Access |
掲載区分 | 国外 |
出版社・発行元 | The Institute of Electrical and Electronics Engineers (IEEE) |
巻・号・頁 | 10,pp.103619-103631 |
総ページ数 | 13 |
著者・共著者 | Ryunosuke Watanabe, Tatsuya Ibuki, Yoshihiro Sakayanagi, Riku Funada, Mitsuji Sampei |
概要 | This paper proposes risk-aware energy management for drive mode control in plug-in hybrid electric vehicles (PHEVs) to reduce fuel consumption. This paper focuses on reducing fuel usage in scenarios in which energy demands along a planned route are stochastically estimated using historical driving data. In this scenario, the proposed method evaluates the risk of high energy consumption based on the conditional value at risk (CVaR) and entropic value at risk (EVaR) derived from Chernoff’s inequality. The CVaR quantifies the high fuel consumption expected in the tail of the probability distributions as a cost function. In contrast, the EVaR bound constraint provides stochastic constraints of electricity capacity based on the property of the cumulant-generating function. Each risk evaluation is formulated as a mixed-integer exponential cone programming problem by expressing the drive modes of a PHEV as binary variables. |