An Integrated Optimisation-Simulation Framework for Scalable Smart Charging and Relocation of Shared Autonomous Electric Vehicles

Riccardo Iacobucci, Raffaele Bruno and Jan-Dirk Schmöcker
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Riccardo Iacobucci: Department of Urban Management, Graduate School of Engineering, Kyoto University, Kyoto 615-8246, Japan
Raffaele Bruno: Istituto di Informatica e Telematica (IIT), Consiglio Nazionale delle Ricerche (CNR), 56124 Pisa, Italy
Jan-Dirk Schmöcker: Department of Urban Management, Graduate School of Engineering, Kyoto University, Kyoto 615-8246, Japan

Energies, 2021, vol. 14, issue 12, 1-22

Abstract: Ride-hailing with autonomous electric vehicles and shared autonomous electric vehicle (SAEV) systems are expected to become widely used within this decade. These electrified vehicles can be key enablers of the shift to intermittent renewable energy by providing electricity storage to the grid and offering demand flexibility. In order to accomplish this goal, practical smart charging strategies for fleets of SAEVs must be developed. In this work, we present a scalable, flexible, and practical approach to optimise the operation of SAEVs including smart charging based on dynamic electricity prices. Our approach integrates independent optimisation modules with a simulation model to overcome the complexity and scalability limitations of previous works. We tested our solution on real transport and electricity data over four weeks using a publicly available dataset of taxi trips from New York City. Our approach can significantly lower charging costs and carbon emissions when compared to an uncoordinated charging strategy, and can lead to beneficial synergies for fleet operators, passengers, and the power grid.

Keywords: electric vehicles; autonomous vehicles; charging optimization; mobility on-demand; vehicle-to-grid; demand response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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