4.4 Article

Grid connected electric vehicle charging and discharging rate management with balance grid load

期刊

ELECTRICAL ENGINEERING
卷 105, 期 2, 页码 575-592

出版社

SPRINGER
DOI: 10.1007/s00202-022-01671-9

关键词

Battery energy storage system (BESS); Power management; Bidirectional buck-boost converter; Grid-connected load; G2V; V2G

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An adaptable infrastructure for dynamic power control of battery chargers for electric vehicles is proposed in this work. The battery power is adjusted dynamically using flexible active load management when the vehicle is plugged in. Two charging strategies, constant current (CC) charging and dynamic constant current (DCC) charging, are developed and explained. Simulation and experimental results show that the load profile of the electrical system responds rapidly to the CC charging method and the vehicle scheduling algorithm successfully reduces power draw from the grid when using the DCC charging method.
An adaptable infrastructure for dynamic power control (AIDPC) of battery chargers for electric vehicles has been proposed in this work. The battery power is dynamically adjusted by utilizing flexible active load management when the vehicle is plugged in. The battery charging and discharging prototype model is developed for storing the surplus power during the off-peak period and delivering the power during the shortfall of the grid. The development and adoption of two charging strategies, namely the constant current (CC) charging and the proposed dynamic constant current (DCC) charging, has been elaborated. When the Grid to Vehicle (G2V) operation mode is active in the CC charging method, the batteries are charged from the power grid with a constant amplitude sinusoidal current and unity power factor. In the proposed method of DCC, the batteries are charged from the grid with a decreased amplitude in sinusoidal current and unity power factor, and the battery charges from the dynamic dc link voltage. The battery charging and discharging depends upon the rate of change of dc link voltage according to the load variation of the grid. The simulation and experimental results support the rapid time response of the (AIDPC) load profile of the electrical system experiences a new peak due to the CC charging method. On the other hand, the vehicle scheduling algorithm successfully draws less power from the grid when the DCC charging method is used.

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