IBUKI TATSUYA
Department Undergraduate School , School of Science and Technology Position Associate Professor |
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Language | English |
Publication Date | 2022/09 |
Type | Academic Journal |
Peer Review | Peer reviewed |
Title | Risk-Aware Energy Management for Drive Mode Control in Plug-in Hybrid Electric Vehicles |
Contribution Type | Co-authored (other than first author) |
Journal | IEEE Access |
Journal Type | Another Country |
Publisher | The Institute of Electrical and Electronics Engineers (IEEE) |
Volume, Issue, Page | 10,pp.103619-103631 |
Total page number | 13 |
Author and coauthor | Ryunosuke Watanabe, Tatsuya Ibuki, Yoshihiro Sakayanagi, Riku Funada, Mitsuji Sampei |
Details | 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. |