TY - GEN
T1 - Applying DTN routing for reservation-driven EV Charging management in smart cities
AU - Cao, Yue
AU - Zhang, Xu
AU - Wang, Ran
AU - Peng, Linyu
AU - Aslam, Nauman
AU - Chen, Xiaomin
N1 - Funding Information:
This research is supported by Natural Science Foundation of Jiangsu Province under Grant BK20160812.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/20
Y1 - 2017/7/20
N2 - Charging management for Electric Vehicles (EVs) on-the-move (moving on the road with certain trip destinations) is becoming important, concerning the increasing popularity of EVs in urban city. However, the limited battery volume of EV certainly influences its driver's experience. This is mainly because the EV needed for intermediate charging during trip, may experience a long service waiting time at Charging Station (CS). In this paper, we focus on CS-selection decision making to manage EVs' charging plans, aiming to minimize drivers' trip duration through intermediate charging at CSs. The anticipated EVs' charging reservations including their arrival time and expected charging time at CSs, are brought for charging management, in addition to taking the local status of CSs into account. Compared to applying traditionally applying cellular network communication to report EVs' charging reservations, we alternatively study the feasibility of applying Vehicle-to-Vehicle (V2V) communication with Delay/Disruption Tolerant Networking (DTN) nature, due primarily to its flexibility and cost-efficiency in Vehicular Ad hoc NETworks (VANETs). Evaluation results under the realistic Helsinki city scenario show that applying the V2V for reservation reporting is promisingly cost-efficient in terms of communication overhead for reservation making, while achieving a comparable performance in terms of charging waiting time and total trip duration.
AB - Charging management for Electric Vehicles (EVs) on-the-move (moving on the road with certain trip destinations) is becoming important, concerning the increasing popularity of EVs in urban city. However, the limited battery volume of EV certainly influences its driver's experience. This is mainly because the EV needed for intermediate charging during trip, may experience a long service waiting time at Charging Station (CS). In this paper, we focus on CS-selection decision making to manage EVs' charging plans, aiming to minimize drivers' trip duration through intermediate charging at CSs. The anticipated EVs' charging reservations including their arrival time and expected charging time at CSs, are brought for charging management, in addition to taking the local status of CSs into account. Compared to applying traditionally applying cellular network communication to report EVs' charging reservations, we alternatively study the feasibility of applying Vehicle-to-Vehicle (V2V) communication with Delay/Disruption Tolerant Networking (DTN) nature, due primarily to its flexibility and cost-efficiency in Vehicular Ad hoc NETworks (VANETs). Evaluation results under the realistic Helsinki city scenario show that applying the V2V for reservation reporting is promisingly cost-efficient in terms of communication overhead for reservation making, while achieving a comparable performance in terms of charging waiting time and total trip duration.
KW - Charging Management
KW - Electric Vehicle
KW - Vehicle-to-Vehicle Communication
UR - http://www.scopus.com/inward/record.url?scp=85027874734&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2017.7986501
DO - 10.1109/IWCMC.2017.7986501
M3 - Conference contribution
AN - SCOPUS:85027874734
T3 - 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
SP - 1471
EP - 1476
BT - 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
PB - The Institute of Electrical and Electronics Engineers (IEEE)
T2 - 13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Y2 - 26 June 2017 through 30 June 2017
ER -