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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 cha...

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Autores principales: Flocea, Radu, Hîncu, Andrei, Robu, Andrei, Senocico, Stelian, Traciu, Andrei, Remus, Baltariu Marian, Răboacă, Maria Simona, Filote, Constantin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028875/
https://www.ncbi.nlm.nih.gov/pubmed/35458819
http://dx.doi.org/10.3390/s22082834
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author Flocea, Radu
Hîncu, Andrei
Robu, Andrei
Senocico, Stelian
Traciu, Andrei
Remus, Baltariu Marian
Răboacă, Maria Simona
Filote, Constantin
author_facet Flocea, Radu
Hîncu, Andrei
Robu, Andrei
Senocico, Stelian
Traciu, Andrei
Remus, Baltariu Marian
Răboacă, Maria Simona
Filote, Constantin
author_sort Flocea, Radu
collection PubMed
description 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, we 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. We created an algorithm that generates reservation intervals based on the charging station’s reservation and transaction history. Subsequently, we 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. Our 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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spelling pubmed-90288752022-04-23 Electric Vehicle Smart Charging Reservation Algorithm Flocea, Radu Hîncu, Andrei Robu, Andrei Senocico, Stelian Traciu, Andrei Remus, Baltariu Marian Răboacă, Maria Simona Filote, Constantin Sensors (Basel) Article 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, we 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. We created an algorithm that generates reservation intervals based on the charging station’s reservation and transaction history. Subsequently, we 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. Our 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. MDPI 2022-04-07 /pmc/articles/PMC9028875/ /pubmed/35458819 http://dx.doi.org/10.3390/s22082834 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Flocea, Radu
Hîncu, Andrei
Robu, Andrei
Senocico, Stelian
Traciu, Andrei
Remus, Baltariu Marian
Răboacă, Maria Simona
Filote, Constantin
Electric Vehicle Smart Charging Reservation Algorithm
title Electric Vehicle Smart Charging Reservation Algorithm
title_full Electric Vehicle Smart Charging Reservation Algorithm
title_fullStr Electric Vehicle Smart Charging Reservation Algorithm
title_full_unstemmed Electric Vehicle Smart Charging Reservation Algorithm
title_short Electric Vehicle Smart Charging Reservation Algorithm
title_sort electric vehicle smart charging reservation algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028875/
https://www.ncbi.nlm.nih.gov/pubmed/35458819
http://dx.doi.org/10.3390/s22082834
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