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- W3133708265 abstract "The equivalent consumption minimization strategy (ECMS) is a well-known energy management strategy for Hybrid Electric Vehicles (HEV). ECMS is very computationally efficient since it yields an instantaneous optimal control. ECMS has been shown to minimize fuel consumption under certain conditions. But, minimizing the fuel consumption often leads to excessive battery damage. The objective of this dissertation is to develop a real-time implementable optimal energy management strategy which improves both the fuel economy and battery aging for Hybrid Electric Vehicles by using ECMS. This work introduces a new optimal control problem where the cost function includes terms for both fuel consumption and battery aging. The Ah-throughput method is used to quantify battery aging. ECMS (with the appropriate equivalence factor) is shown to also minimize the cost function that incorporates battery aging. Finding the appropriate equivalence factor often required prior knowledge of the entire drive cycle. While using the appropriate equivalence factor might miss the opportunities for fuel savings under certain conditions. Therefore, an adaptive control law of equivalence factor called Catch Energy Saving Opportunity (CESO) has been introduced in this work to make the proposed aging ECMS real-time implementable." @default.
- W3133708265 created "2021-03-15" @default.
- W3133708265 creator A5006620669 @default.
- W3133708265 date "2021-02-11" @default.
- W3133708265 modified "2023-09-28" @default.
- W3133708265 title "Hybrid Electric Vehicle Energy Management Strategy with Consideration of Battery Aging" @default.
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- W3133708265 doi "https://doi.org/10.37099/mtu.dc.etdr/1140" @default.
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