TY - GEN
T1 - A model of electric vehicle charging station compatibles with vehicle to grid scenario
AU - Singh, Mukesh
AU - Kumar, Praveen
AU - Kar, Indrani
PY - 2012
Y1 - 2012
N2 - A large penetration of Electric Vehicles (EVs) will demand a huge infrastructure for power handling of the distribution network. In this paper, EVs charging station has been modelled which can fulfil different demands of the EV vehicles owners. The owner's demand can be to limit on the charging rate (C rate), or limit to the state of charge (SOC) or proper power management of the battery. A suitable fuzzy controller has been designed to control the C rate of the individual battery based on power available with the battery and the power required by the grid. An algorithm has been designed which can handle different situations like charging and discharging of EVs batteries based on the distribution node voltage. The algorithm updates the power requirement, if certain vehicles arrive or leave the charging station.
AB - A large penetration of Electric Vehicles (EVs) will demand a huge infrastructure for power handling of the distribution network. In this paper, EVs charging station has been modelled which can fulfil different demands of the EV vehicles owners. The owner's demand can be to limit on the charging rate (C rate), or limit to the state of charge (SOC) or proper power management of the battery. A suitable fuzzy controller has been designed to control the C rate of the individual battery based on power available with the battery and the power required by the grid. An algorithm has been designed which can handle different situations like charging and discharging of EVs batteries based on the distribution node voltage. The algorithm updates the power requirement, if certain vehicles arrive or leave the charging station.
KW - Battery
KW - Charging Station
KW - Electric Vehicles (EVs)
KW - Vehicle to Grid (V2G)
UR - http://www.scopus.com/inward/record.url?scp=84860802336&partnerID=8YFLogxK
U2 - 10.1109/IEVC.2012.6183223
DO - 10.1109/IEVC.2012.6183223
M3 - Conference contribution
AN - SCOPUS:84860802336
SN - 9781467315623
T3 - 2012 IEEE International Electric Vehicle Conference, IEVC 2012
BT - 2012 IEEE International Electric Vehicle Conference, IEVC 2012
T2 - 2012 IEEE International Electric Vehicle Conference, IEVC 2012
Y2 - 4 March 2012 through 8 March 2012
ER -
