Fuzzy Logic Weight based Coordination Scheme for Utilizing Electric Vehicle Charging Stations

TL;DR

This paper introduces a fuzzy logic-based coordination scheme to improve electric vehicle charging station utilization by intelligently allocating stations based on uncertain EV information, resulting in significant efficiency gains.

Contribution

It proposes a novel fuzzy logic weight-based scheme for EV charging station allocation, enhancing utilization over traditional methods.

Findings

30% improvement in station utilization

Effective handling of uncertain EV data

Simulation results validate the scheme's efficiency

Abstract

The larger battery capacities and the longer waiting and charging time of electric vehicles (EVs) results in low utilization of charging stations (CSs). This paper, proposes fuzzy logic weight based coordination (FLWC) scheme to enhance the utilization of CSs. Each EV has an associated uncertain information including stay time and the current state-of-charge (SoC). The fuzzy logic controller (FLC) analyze these inputs and determines a weight value. The proposed FLWC scheme then allocates CSs to the EVs according to the weight values. The proposed scheme is simulated for 100 EVs and 5 CSs using Matlab. The simulation result shows about 30% improvement in the average utilization of CSs as compared to first-come-first-serve (FCFS) based scheme.