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

TL;DR

This paper introduces a decentralized algorithm for assigning electric vehicles to charging stations based on personalized cost functions, utilizing distributed ledger technology to ensure compliance and reduce misbehavior.

Contribution

It presents a novel stochastic decentralized method combined with IoT and DLT to optimize PEV charging station assignment considering driver preferences.

Findings

Effective in realistic city scenarios

Reduces driver misbehavior

Balances multiple driver priorities

Abstract

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