TY - GEN
T1 - An Optimal Model for Electric Vehicle Battery Charging and Discharging Scheduling Strategy
AU - Sowmya, R.
AU - Sankaranarayanan, V.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - This work presents a novel solution to the problem of scheduling the Plug-in Electric Vehicles (PEVs) in the parking lot. It is a cost concerned approach where the primary objective is to minimize the total cost to charge the vehicle by the consecutive charging/discharging operations over a period of time. The solution is formulated to provide scheduling plan for PEVs according to their individual battery capacity and charging method. The battery life is improved by minimizing the number of charging and discharging cycles based on the minimum allowable SOC deviation limit. A comparative analysis is carried out to analyze the proposed strategy for the PEVs with different charging profiles.
AB - This work presents a novel solution to the problem of scheduling the Plug-in Electric Vehicles (PEVs) in the parking lot. It is a cost concerned approach where the primary objective is to minimize the total cost to charge the vehicle by the consecutive charging/discharging operations over a period of time. The solution is formulated to provide scheduling plan for PEVs according to their individual battery capacity and charging method. The battery life is improved by minimizing the number of charging and discharging cycles based on the minimum allowable SOC deviation limit. A comparative analysis is carried out to analyze the proposed strategy for the PEVs with different charging profiles.
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U2 - 10.1109/NPEC47332.2019.9034691
DO - 10.1109/NPEC47332.2019.9034691
M3 - Conference contribution
AN - SCOPUS:85083076365
T3 - 2019 National Power Electronics Conference, NPEC 2019
BT - 2019 National Power Electronics Conference, NPEC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 National Power Electronics Conference, NPEC 2019
Y2 - 13 December 2019 through 15 December 2019
ER -