Energy Management of a Multi-Battery System for Renewable-Based High Power EV Charging

TL;DR

This paper develops energy management strategies for a multi-battery system in renewable-based EV fast-charging stations, optimizing energy exchange and reducing grid dependency while considering battery aging and uncertainty in EV charging patterns.

Contribution

It introduces a novel multi-battery design with direct DC connections and compares basic and forecast-based control strategies for grid exchange management.

Findings

Enhanced control increases self-sufficiency and reduces grid exchange.

Forecast-based control decreases battery cycling but may accelerate aging.

Simulation results validate the effectiveness of the proposed strategies.

Abstract

Hybrid fast-charging stations with battery storage and local renewable generation can facilitate low-carbon electric vehicle (EV) charging, while reducing the stress on the distribution grid. This paper proposes energy management strategies for a novel multi-battery design that directly connects its strings to other DC components through a busbar matrix without the need for interfacing power converters. Hence, the energy management system has two degrees of control: (i) allocating strings to other DC microgrid components, in this case a photovoltaic system, two EV fast chargers, and a grid-tie inverter, and (ii) managing the energy exchange with the local distribution grid. For the grid exchange, a basic droop control is compared to an enhanced control including forecasts in the decision making. To this end, this paper evaluates results from multiple Monte Carlo simulations capturing the uncertainty of EV charging. For a realistic charging behaviour in each simulation run, random fast-charging profiles were created based on probability distributions of actual fast-charging data for arrival time, charging duration, and requested energy. The impact of different utilisation levels of the chargers was assessed by varying the average charging instances from 1 to 30 EVs per day. Using actual photovoltaic measurements from different months, the numerical analyses show that the enhanced control increases self-sufficiency by reducing grid exchange, and decreases the number of battery cycles. However, the enhanced control operates the battery closer to its charge limits, which may accelerate calendar ageing.