TY - JOUR
T1 - Toward Anycasting-Driven Reservation System for Electric Vehicle Battery Switch Service
AU - Cao, Yue
AU - Wang, Tong
AU - Zhang, Xing
AU - Kaiwartya, Omprakash
AU - Eiza, Mahmoud Hashem
AU - Putrus, Ghanim
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Electro-mobility has become an increasingly important research problem in urban cities. Due to the limited electricity of battery, electric vehicle (EV) drivers may experience discomfort for long charging waiting time. Different from plug-in charging technology, we investigate the battery switch technology to improve EV drivers' comfort (e.g., reduce the service waiting time from tens of minutes to a few minutes), by benefiting from switchable (fully recharged) batteries cycled at charging stations (CSs). Since demand hotspot may still happen at CSs (e.g., running out of switchable batteries), incoming EVs may need to wait for additional time to get their battery switched, and thus, the EV drivers' comfort is degraded. First, we propose a centralized reservation-enabling service, considering EVs' reservations (including arrival time, expected charging time of their batteries to be depleted) to optimally coordinate their battery switch plans. Second, a decentralized system is further proposed, by facilitating the vehicle-to-vehicle anycasting to deliver EV's reservations. This helps to address some of the privacy issues that can be materialized in a centralized system and reduce communication cost (e.g., through cellular network for reservation making). Results under the Helsinki city scenario show a tradeoff between comparable performance (e.g., service waiting time, number of switched batteries) and cellular network cost for EVs' reservations delivery.
AB - Electro-mobility has become an increasingly important research problem in urban cities. Due to the limited electricity of battery, electric vehicle (EV) drivers may experience discomfort for long charging waiting time. Different from plug-in charging technology, we investigate the battery switch technology to improve EV drivers' comfort (e.g., reduce the service waiting time from tens of minutes to a few minutes), by benefiting from switchable (fully recharged) batteries cycled at charging stations (CSs). Since demand hotspot may still happen at CSs (e.g., running out of switchable batteries), incoming EVs may need to wait for additional time to get their battery switched, and thus, the EV drivers' comfort is degraded. First, we propose a centralized reservation-enabling service, considering EVs' reservations (including arrival time, expected charging time of their batteries to be depleted) to optimally coordinate their battery switch plans. Second, a decentralized system is further proposed, by facilitating the vehicle-to-vehicle anycasting to deliver EV's reservations. This helps to address some of the privacy issues that can be materialized in a centralized system and reduce communication cost (e.g., through cellular network for reservation making). Results under the Helsinki city scenario show a tradeoff between comparable performance (e.g., service waiting time, number of switched batteries) and cellular network cost for EVs' reservations delivery.
KW - Anyacsting
KW - Battery switch (BS)
KW - Electric vehicle
KW - Internet of Vehicles (IoV)
KW - Transportation planning
UR - http://www.scopus.com/inward/record.url?scp=85046731767&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2018.2815156
DO - 10.1109/JSYST.2018.2815156
M3 - Article
SN - 1932-8184
VL - 13
SP - 906
EP - 917
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 1
M1 - 8355898
ER -