Demand profile study of battery electric vehicle under different charging options
An increased research on electric vehicles (EV) and plug-in hybrid electric vehicles (PHEV) deals with their flexible use in electric power grids. Several research projects on smart grids and electric mobility are now looking into realistic models representing the behavior of an EV during charging,...
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Published in: | 2012 IEEE Power and Energy Society General Meeting pp. 1 - 7 |
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Main Authors: | , , , , , |
Format: | Conference Proceeding |
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01-07-2012
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Abstract | An increased research on electric vehicles (EV) and plug-in hybrid electric vehicles (PHEV) deals with their flexible use in electric power grids. Several research projects on smart grids and electric mobility are now looking into realistic models representing the behavior of an EV during charging, including nonlinearities. In this work, modeling, simulation and testing of the demand profile of a battery-EV are conducted. Realistic work conditions for a lithium-ion EV battery and battery charger are considered as the base for the modeling. Simulation results show that EV charging generates different demand profiles into the grid, depending on the applied charging option. Moreover, a linear region for the control of EV chargers is identified in the range of 20-90% state-of-charge (SOC). Experiments validate the proposed model. |
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AbstractList | An increased research on electric vehicles (EV) and plug-in hybrid electric vehicles (PHEV) deals with their flexible use in electric power grids. Several research projects on smart grids and electric mobility are now looking into realistic models representing the behavior of an EV during charging, including nonlinearities. In this work, modeling, simulation and testing of the demand profile of a battery-EV are conducted. Realistic work conditions for a lithium-ion EV battery and battery charger are considered as the base for the modeling. Simulation results show that EV charging generates different demand profiles into the grid, depending on the applied charging option. Moreover, a linear region for the control of EV chargers is identified in the range of 20-90% state-of-charge (SOC). Experiments validate the proposed model. |
Author | Marra, F. Rasmussen, C. N. Guang Ya Yang Traholt, C. Larsen, E. Shi You |
Author_xml | – sequence: 1 givenname: F. surname: Marra fullname: Marra, F. email: fm@elektro.dtu.dk organization: Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark – sequence: 2 surname: Guang Ya Yang fullname: Guang Ya Yang organization: Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark – sequence: 3 givenname: C. surname: Traholt fullname: Traholt, C. organization: Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark – sequence: 4 givenname: E. surname: Larsen fullname: Larsen, E. organization: Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark – sequence: 5 givenname: C. N. surname: Rasmussen fullname: Rasmussen, C. N. organization: Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark – sequence: 6 surname: Shi You fullname: Shi You organization: Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark |
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Snippet | An increased research on electric vehicles (EV) and plug-in hybrid electric vehicles (PHEV) deals with their flexible use in electric power grids. Several... |
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SubjectTerms | Batteries charging demand profile electric vehicles Impedance Integrated circuit modeling Load modeling modeling Smart grids System-on-a-chip validation |
Title | Demand profile study of battery electric vehicle under different charging options |
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