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• W3160508051 startingPage "120890" @default.
• W3160508051 abstract "Adoption of the hybrid energy storage system (HESS) brings a bright perspective to improve the total economy of plug-in hybrid electric vehicles (PHEVs). This paper proposes a novel energy management method to improve the total economy of PHEV by exploiting the energy storage capability of HESS. Firstly, A cyber-physical energy management framework that enables the synergistic scheduling of fuel engine, battery, and supercapacitor is designed to derive the optimal power distribution strategy for PHEV with HESS. Then, an optimization-based energy management model is established to distribute the vehicle power requirement between the fuel engine and driving motor. The reduction of fuel cost and the mitigation of the battery aging phenomenon are designed as the optimization objectives. In a further stage, an online power distribution algorithm is designed for the optimal control of HESS, where the supercapacitor is used to prolong the battery life. The qualitative and quantitative analyses indicate that both the fuel economy and battery aging cost are sensitive to the power system topology and power distribution algorithm. With the proposed methods, the PHEV total economy can be improved by 8.9% and 6.9% compared to the conventional PHEV structure and power distribution strategy while guarantee the vehicle dynamic performance. • A novel cyber-physical energy management framework is developed for PHEV with HESS. • An optimization-based energy management model is proposed to improve total economy. • The fuel & electricity economy and battery anti-aging are optimization objectives. • A real-time power distribution algorithm is designed for optimal control of HESS. • The performance is verified on the simulation platform established with actual data." @default.
• W3160508051 created "2021-05-24" @default.
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• W3160508051 date "2021-09-01" @default.
• W3160508051 modified "2023-10-13" @default.
• W3160508051 title "Energy management for hybrid energy storage system in electric vehicle: A cyber-physical system perspective" @default.
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• W3160508051 doi "https://doi.org/10.1016/j.energy.2021.120890" @default.
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