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  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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Route Optimization of Electric Vehicles Based on Dynamic Wireless Charging

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Author
Kosmanos D., Maglaras L.A., Mavrovouniotis M., Moschoyiannis S., Argyriou A., Maglaras A., Janicke H.
Date
2018
Language
en
DOI
10.1109/ACCESS.2018.2847765
Keyword
Charging (batteries)
Computer programming languages
Electric vehicles
Energy transfer
Graph theory
Graphic methods
Inductive power transmission
Logic programming
Optimization
Solar cells
Traffic control
Travel time
Vehicle-to-grid
Charging station
Constraint Solving
Inductive charging
Inductive power transfer
Roads
Vehicle dynamics
Vehicular communications
Wireless charging
Vehicle to vehicle communications
Institute of Electrical and Electronics Engineers Inc.
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Abstract
One of the barriers for the adoption of electric vehicles (EVs) is the anxiety around the limited driving range. Recent proposals have explored charging EVs on the move, using dynamic wireless charging which enables power exchange between the vehicle and the grid while the vehicle is moving. In this paper, we focus on the intelligent routing of EVs in need of charging so that they can make most efficient use of the so-called mobile energy disseminators (MEDs) which operate as mobile charging stations. We present a method for routing EVs around MEDs on the road network, which is based on constraint logic programming and optimization using a graph-based shortest path algorithm. The proposed method exploits inter-vehicle communications in order to eco-route electric vehicles. We argue that combining modern communications between vehicles and state of the art technologies on energy transfer, the driving range of EVs can be extended without the need for larger batteries or overtly costly infrastructure. We present extensive simulations in city conditions that show the driving range and consequently the overall travel time of electric vehicles is improved with intelligent routing in the presence of MEDs. © 2018 IEEE.
URI
http://hdl.handle.net/11615/75161
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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