Open AccessDynamic charging systems for electric vehicles: simulation for the daily energy estimation on motorways
Author(s) -
Deflorio Francesco,
Pinna Ivano,
Castello Luca,
Cantello Valeria
Publication year - 2016
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2015.0143
Subject(s) - estimation , automotive engineering , energy (signal processing) , vehicle dynamics , electric vehicle , computer science , transport engineering , engineering , systems engineering , power (physics) , statistics , physics , mathematics , quantum mechanics
This study presents an application for motorway scenarios of charge while driving (CWD) also known as dynamic charging systems for fully electric vehicles (FEVs). This charging modality “in motion” strongly relies on intelligent transport systems (ITS) solutions, because it can be feasible and accepted by users if automatic identification, positioning and communications technologies are applied. The investigated case is a motorway with three lanes where the right‐hand lane is reserved for charging at defined speeds for FEVs. The input traffic flow for the motorway is simulated according to an hourly time profile along the day. To generalise the simulation for various traffic levels, the traffic flow for any time interval is estimated on the base of the traffic density, known from available data. The FEVs are only a part of the whole traffic and their input traffic is estimated as a percentage. The principal aim of this study is to estimate the daily energy provided to electric vehicles by the CWD system, which can be used, together with other data if available, to build possible business models and help stakeholders configure charging services. For this reason, the total energy provided is estimated by simulation for different scenarios.