Electric Vehicle Smart Charging Reservation Algorithm
The widespread adoption of electromobility constitutes one of the measures designed to reduce air pollution caused by traditional fossil fuels. However, several factors are currently impeding this process, ranging from insufficient charging infrastructure, battery capacity, and long queueing and charging times, to psychological factors. On top of range anxiety, the frustration of the EV drivers is further fuelled by the uncertainty of finding an available charging point on their route. To address this issue, the authors propose a solution that bypasses the limitations of the “reserve now” function of the OCPP standard, enabling drivers to make charging reservations for the upcoming days, especially when planning a longer trip. The authors created an algorithm that generates reservation intervals based on the charging station’s reservation and transaction history. Subsequently, the authors ran a series of test cases that yielded promising results, with no overlapping reservations and the occupation of several stations without queues, assuring, thus, a proper distribution of the available energy resources, while increasing end-user satisfaction. The authors solution is independent from the OCPP reservation method; therefore, the authentication and reservation processes performed by the proposed algorithm run only through the central system, authorizing only the creator of the reservation to start the charging transaction.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
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Supplemental Notes:
- © Radu Flocea et al.
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Authors:
- Flocea, Radu
- Hîncu, Andrei
- Robu, Andrei
- Senocico, Stelian
- Traciu, Andrei
- Remus, Baltariu Marian
- Raboaca, Maria Simona
- Filote, Constantin
- Publication Date: 2022
Language
- English
Media Info
- Media Type: Digital/other
- Pagination: 2834
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Serial:
- Sensors
- Volume: 22
- Issue Number: 8
- Publisher: MDPI AG
- ISSN: 1424-8220
- Serial URL: http://www.mdpi.com/journal/sensors
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Algorithms; Electric batteries; Electric vehicle charging; Electric vehicles; Environmental impacts; Reservation systems
- Subject Areas: Data and Information Technology; Energy; Environment; Highways; Terminals and Facilities; Vehicles and Equipment;
Filing Info
- Accession Number: 01846561
- Record Type: Publication
- Files: TRIS
- Created Date: May 24 2022 10:09AM