IBUKI TATSUYA
   Department   Undergraduate School  , School of Science and Technology
   Position   Associate Professor
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 TypeAnother 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.