State-of-Charge Aware EV Charging

TL;DR

This paper introduces a predictive EV charging controller that uses state-of-charge information to optimize charging schedules, improve throughput, and ensure physical constraints are met, addressing grid impact challenges.

Contribution

It presents a novel SOC-aware scheduling algorithm that enhances EV charging efficiency and feasibility under capacity constraints and demand uncertainty.

Findings

Increased charging throughput in simulations.

Higher rate of feasible charging sessions.

Effective management of physical constraints.

Abstract

Recent proliferation in electric vehicles (EVs) are posing profound impacts over the operation of electrical grids. In particular, due to the physical constraints on charging stations' capacity and uncertainty in charging demand, it becomes an emerging challenge to design high performance scheduling algorithms to better serve charging sessions. In this paper, we design a predictive charging controller by actively incorporating each EV's state-of-charge (SOC) information, which has strong effects on the utilization of dispatchable power during peak hours. Simulation results on both synthetic and real-world EV session and charging demand data demonstrate the proposed algorithm's benefits on maximizing charging throughput and achieving higher rate of feasible charging sessions while satisfying battery and station physical constraints at the same time.