Development of an energy management system for the hybridization of high-power EV charging stations
Abstract The growth of the electric vehicle fleet must be supported by the deployment of efficient charging infrastructures; this in turn requires investments in localized energy production systems, often integrating storage systems and different power sources. The study analyses a charging station in central Italy, in which a hybrid engine-generator and photovoltaic panels have been installed to upgrade grid-connection. To optimize the performance of the system, a real-time online deterministic energy management system (EMS) has been developed and presented herein. The EMS is characterized by innovative cost-minimization and BESS state-of-charge management algorithms, while maximizing load coverage. The EMS is developed in CODESYS specifically for online PLC implementation and validated in Python. After ten years of simulation, the EMS reports a total energy provision cost of 0.629 M€, corresponding to a specific cost of provided energy of 30.47 c€/kWh, showing significant advantages with respect to more simplified control logics currently in use. Overall, the results prove the potential of hybrid technologies for high-power EV charging stations, highlighting that a dedicated online EMS with custom control algorithms could be key for the development of this technology.
Authors
- Daniele Farruggia
- Michele Pinzi
- Giovanni Ferrara (ORCID: https://orcid.org/0000-0003-0990-2855)
- Alessandro Bianchini (ORCID: https://orcid.org/0000-0002-8042-5863)
- Francesco Balduzzi (ORCID: https://orcid.org/0000-0003-3333-945X)
- Luca Romani (ORCID: https://orcid.org/0000-0002-9482-7804)
- Stefano Rossi (ORCID: https://orcid.org/0000-0001-9800-3784)
- Cláudio Galli
- Luca Collegiani
Institutions
- Polo Universitario Città di Prato (IT)
- University of Florence (IT)
Publication Details
- Journal
- Journal of Physics Conference Series
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1088/1742-6596/3143/1/012118
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00