TY - GEN
T1 - Charging facility planning for Electric Vehicles
AU - Chang, Siting
AU - Li, Hongyang
AU - Nahrstedt, Klara
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - With the fast development and growth of Electric Vehicles (EV) in use, finding optimal locations for charging facilities became a critical issue since growth of EVs heavily depends on the availability of public charging facilities. Several researches have been done related to this topic considering optimal locations of charging stations on road networks. In this paper, we extend the problem by also taking into account optimal locations of charging pads which uses inductive charging technology. Flow Refueling Location Model (FRLM) was proposed to maximize the refueled traffic flow by allocating a fixed number of facilities, e.g., gas stations. This paper extends FRLM to consider both charging station and charging pad allocation to maximize the recharged EV flow. Evaluation on a sample network shows that deploying charging pads on road network enables us to capture more traffic flow than locating charging stations only. Charging pad deployment also significantly shortens the charging time spent by EV drivers.
AB - With the fast development and growth of Electric Vehicles (EV) in use, finding optimal locations for charging facilities became a critical issue since growth of EVs heavily depends on the availability of public charging facilities. Several researches have been done related to this topic considering optimal locations of charging stations on road networks. In this paper, we extend the problem by also taking into account optimal locations of charging pads which uses inductive charging technology. Flow Refueling Location Model (FRLM) was proposed to maximize the refueled traffic flow by allocating a fixed number of facilities, e.g., gas stations. This paper extends FRLM to consider both charging station and charging pad allocation to maximize the recharged EV flow. Evaluation on a sample network shows that deploying charging pads on road network enables us to capture more traffic flow than locating charging stations only. Charging pad deployment also significantly shortens the charging time spent by EV drivers.
UR - http://www.scopus.com/inward/record.url?scp=84988287511&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988287511&partnerID=8YFLogxK
U2 - 10.1109/IEVC.2014.7056077
DO - 10.1109/IEVC.2014.7056077
M3 - Conference contribution
AN - SCOPUS:84988287511
T3 - 2014 IEEE International Electric Vehicle Conference, IEVC 2014
BT - 2014 IEEE International Electric Vehicle Conference, IEVC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Electric Vehicle Conference, IEVC 2014
Y2 - 17 December 2014 through 19 December 2014
ER -