'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Abstract
This paper aims to design an intelligent mobile
charging control mechanism for Electric Vehicles (EVs), by
promoting charging reservations (including service start time,
expected charging time, and charging location, etc.). EV mobile
charging could be implemented as an alternative recharging solution, wherein charge replenishment is provided by economically
mobile plug-in chargers, capable of providing on-site charging
services. With intelligent charging management, readily available
mobile chargers are predictable and could be efficiently scheduled
towards EVs with charging demand, based on updated context
collected from across the charging network. The context can
include critical information relating to charging sessions as well
as charging demand, etc. Further with reservations introduced,
accurate estimations on charging demand for a future moment
are achievable, and correspondingly, optimal mobile chargersselection can be obtained. Therefore, charging demands across
the network can be efficiently and effectively satisfied, with the
support of intelligent system-level decisions. In order to evaluate
critical performance attributes, we further carry out extensive
simulation experiments with practical concerns to verify our
insights observed from the theoretical analysis. Results show
great performance gains by promoting the reservation-based
mobile charger-selection, especially for mobile chargers equipped
with suffice power capacity
