Model Predictive Current Control with Harmonic Correction for Single-Phase AC-DC EV Charging
arXiv:2606.30397v1 Announce Type: cross Abstract: The increasing integration of Electric Vehicles (EVs) has imposed a growing harmonic challenge on the power grid. For AC/DC Power Factor Correction (PFC) in single-phase On-Board Chargers (OBCs), Model Predictive Current Control (MPCC) improves the current quality by predicting and tracking the inductor current. However, finite control set MPCC selects switching states, resulting in discrete control actions and a limited optimisation space. Moreover, the MPCC cost function based on instantaneous current tracking error has limited capability to
The increasing integration of Electric Vehicles (EVs) is driving innovation in power conversion technologies to address grid harmonic challenges, making current control improvements vital.
This research contributes to more efficient and grid-friendly EV charging, which is crucial for handling the growing electricity demand and maintaining grid stability as EV adoption accelerates.
Improvements in Model Predictive Current Control for EV chargers aim to enhance power quality by reducing harmonics, indirectly supporting broader EV integration without disproportionately burdening the power grid.
- · EV Owners
- · Electric Power Grids
- · EV Charging Infrastructure Manufacturers
- · Inefficient Power Conversion Technologies
Improved power quality from EV chargers reduces stress on local grids.
Better grid stability allows for faster and more widespread EV adoption without significant infrastructure overhauls.
Reduced grid stress could defer or lessen the need for costly grid upgrades solely due to EV load, influencing energy investment strategies.
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Read at arXiv cs.AI