Port-Hamiltonian Modeling and Control of Electric Vehicle Charging Stations

TL;DR

This paper introduces a port-Hamiltonian modeling framework for EV charging stations, enabling scalable control algorithms that ensure grid stability and resilience, validated through simulation comparisons.

Contribution

It presents a novel averaged port-Hamiltonian model for EVCSs, facilitating the design of stabilizing controllers including PI controllers, with validation via simulation.

Findings

Averaged pH models effectively approximate switching behavior.

Control strategies maintain grid stability during EV charging.

Simulation results validate the proposed control approach.

Abstract

Electric vehicles (EV) are an important part of future sustainable transportation. The increasing integration of EV charging stations (EVCSs) in the existing power grids require new scaleable control algorithms that maintain the stability and resilience of the grid. Here, we present such a control approach using an averaged port-Hamiltonian model. In this approach, the underlying switching behavior of the power converters is approximated by an averaged non-linear system. The averaged models are used to derive various types of stabilizing controllers, including the typically used PI controllers. The pH modeling is showcased by means of a generic setup of an EVCS, where the battery of the vehicle is connected to an AC grid via power lines, converters, and filters. Finally, the control design methods are compared for the averaged pH system and validated using a simulation model of the switched charging station.