Decentralized Assignment of Electric Vehicles at Charging Stations Based\n on Personalized Cost Functions and Distributed Ledger Technologies

Abstract

In this paper we propose a stochastic decentralized algorithm to recommend\nthe most convenient Charging Station (CS) to Plug-in Electric Vehicles (PEVs)\nthat need charging. In particular, we use different cost functions to describe\nthe possibly different priorities of PEV drivers, such as the preference to\nminimize charging costs, charging times, or the distance between them and the\nCS. For this purpose, we leverage on an IoT architecture based on a\npermissioned Distributed Ledger Technology (DLT) to enforce compliance of\ndrivers and reduces the occurrence of detrimental misbehaviours of drivers.\nExtensive simulations performed with the mobility simulator SUMO in realistic\ncity-wide networks have been provided to illustrate how the proposed PEV\nassignment procedure works in practice, and to validate its performance.\n