Optimal Incentives for Electric Vehicles at e-Park & Ride Hub with Renewable Energy Source
1
EDF R&D, MIRE & OSIRIS Department, EDF Lab Paris-Saclay, 91120 Palaiseau, France
2
LIA/CERI, University of Avignon, 84911 Avignon, France
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2019, 10(4), 70; https://doi.org/10.3390/wevj10040070
Received: 2 October 2019 / Revised: 25 October 2019 / Accepted: 28 October 2019 / Published: 31 October 2019
(This article belongs to the Special Issue A World of E MOTION—Selected Papers from the 32nd International Electric Vehicles Symposium and Exhibition (Lyon, France))
As electric vehicles’ penetration increases, more impacts on urban systems are observed and related to both driving (e.g., on traffic congestion and reduced pollution) and charging (e.g., on the electrical grid). Therefore, there is a need to design coupled incentive mechanisms. To propose and numerically evaluate such incentives, a game theory model is adopted. Its originality comes from the coupling between the charging cost and the driving decisions: to drive downtown or to charge at an e-Park & Ride hub with solar panels and then take public transport, in order to reach destination. Optimal ticket fares and solar park’s size are computed using real photovoltaic production data.
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Keywords:
electric vehicles; dynamic charging; optimization
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MDPI and ACS Style
Sohet, B.; Beaude, O.; Hayel, Y.; Jeandin, A. Optimal Incentives for Electric Vehicles at e-Park & Ride Hub with Renewable Energy Source. World Electr. Veh. J. 2019, 10, 70.
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