Optimizing Electric Vehicle Charging Through a Real-Time Control Mechanism

This paper explores an integrated approach combining real-time and predictive control mechanisms to manage electric vehicle charging in alignment with solar energy availability. By utilizing predictive control and a Real-Time Control Mechanism (RCM), the challenges posed by the variability of solar power and the increasing demand for EV charging are addressed. Through simulations and field tests, the proposed strategy demonstrates its ability to reduce peak grid loads, enhance self-sufficiency, and improve self-consumption, while maintaining user satisfaction. The findings indicate that integrating real-time adjustments with predictive EV charging scheduling can significantly contribute to a more stable and efficient grid.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863524
Citations
1
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.21
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article

Optimizing Electric Vehicle Charging Through a Real-Time Control Mechanism

Johann L. Hurink, Bart Nijenhuis, Gerwin Hoogsteen, Jacco Reuling
1 citations
Electric Vehicles and Infrastructure
0.21
article

Optimizing Electric Vehicle Charging Through a Real-Time Control Mechanism

Johann L. Hurink, Bart Nijenhuis, Gerwin Hoogsteen, Jacco Reuling
article en
1 citations

Abstract

This paper explores an integrated approach combining real-time and predictive control mechanisms to manage electric vehicle charging in alignment with solar energy availability. By utilizing predictive control and a Real-Time Control Mechanism (RCM), the challenges posed by the variability of solar power and the increasing demand for EV charging are addressed. Through simulations and field tests, the proposed strategy demonstrates its ability to reduce peak grid loads, enhance self-sufficiency, and improve self-consumption, while maintaining user satisfaction. The findings indicate that integrating real-time adjustments with predictive EV charging scheduling can significantly contribute to a more stable and efficient grid.

University of Twente (NL)
Affordable and clean energy
Openalex Percentile: Top 44%
Electric Vehicles and Infrastructure
0.21
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