Robust Switching Control of DC-DC Boost Converter for EV Charging Stations

TL;DR

This paper presents a robust switching control method for DC-DC boost converters in EV charging stations, addressing uncertainties in input and load parameters through real-time estimation and filtering techniques.

Contribution

It introduces a real-time parameter estimator with noise filtering for robust control of boost converters under uncertain conditions in EV charging applications.

Findings

Effective real-time adaptation to parameter uncertainties.

Enhanced noise suppression in parameter estimation.

Successful application to EV charging station scenario.

Abstract

In this work, the problem of switching control design for DC-DC boost converter is considered, in the case of operation under uncertain equilibrium condition arising due to perturbations in the input and load parameters. Assuming that these uncertain parameters are generated via a known linear exo-system, a parameter estimator is designed to update the equilibrium point for the switching controller in real-time. In order to mitigate the noise amplification problem associated with the designed parameter estimator, the estimation error injection term is filtered via a set of first-order filters to obtain the desired level of noise suppression in the final set of estimates. To demonstrate the efficiency of the developed scheme, a realistic application scenario of a DC charging station for electric vehicles is considered, with photovoltaic array as the source and a battery connected at the load side.