TY - GEN
T1 - Optimal approach to provide electric vehicles with charging service by using mobile charging stations in heterogeneous networks
AU - Chen, Huwei
AU - Su, Zhou
AU - Hui, Yilong
AU - Hui, Hui
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - Mobile charging stations (MCSs) can provide electric vehicles (EVs) with better charging services than the fixed charging stations, as the flexible and efficient charging sites can be available. However, how to schedule the tasks from the EVs and optimally place the MCSs becomes a new challenge. Therefore, in this paper we present a novel approach to help EVs' charging with MCSs through heterogeneous networks. Firstly, a novel heterogeneous network model is presented to improve the communication between EVs and MCSs by using macro cells and small cells. Next, a novel model is developed to make optimal decisions for MCSs to schedule the tasks from EVs. Then, a chaotic evolution particle swarm optimization (CEPSO) algorithm is presented to determine the optimal placement of MCSs based on the charging demand and the maintenance cost. Finally, the simulation experiments prove that the proposed approach can outperform the conventional methods.
AB - Mobile charging stations (MCSs) can provide electric vehicles (EVs) with better charging services than the fixed charging stations, as the flexible and efficient charging sites can be available. However, how to schedule the tasks from the EVs and optimally place the MCSs becomes a new challenge. Therefore, in this paper we present a novel approach to help EVs' charging with MCSs through heterogeneous networks. Firstly, a novel heterogeneous network model is presented to improve the communication between EVs and MCSs by using macro cells and small cells. Next, a novel model is developed to make optimal decisions for MCSs to schedule the tasks from EVs. Then, a chaotic evolution particle swarm optimization (CEPSO) algorithm is presented to determine the optimal placement of MCSs based on the charging demand and the maintenance cost. Finally, the simulation experiments prove that the proposed approach can outperform the conventional methods.
KW - Charging demand
KW - Electric vehicle
KW - Heterogenous communication
KW - Mobile charging station
KW - Optimal charging strategy
UR - https://www.scopus.com/pages/publications/85016981608
U2 - 10.1109/VTCFall.2016.7881135
DO - 10.1109/VTCFall.2016.7881135
M3 - 会议稿件
AN - SCOPUS:85016981608
T3 - IEEE Vehicular Technology Conference
BT - 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 84th IEEE Vehicular Technology Conference, VTC Fall 2016
Y2 - 18 September 2016 through 21 September 2016
ER -