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Research on Charging Strategy of Electric Vehicles Considering Bilateral Benefits

Author:

Yu Lao HanAuthors Info & Claims

ICBDT '23: Proceedings of the 2023 6th International Conference on Big Data Technologies

Pages 206 - 210

https://doi.org/10.1145/3627377.3627407

Published: 04 December 2023 Publication History

Abstract

In order to ensure the load balance of the charging network and promote the large-scale application of electric vehicles., how to balance the benefits of both charging stations and electric vehicle users has become an urgent problem. A charging model considering the benefits of charging stations and electric vehicles users is established, and a charging scheme for electric vehicles is proposed. The simulation results show that, compared with the traditional random charging scheme, the proposed scheme can significantly increase the benefits of charging stations and lower the charging costs, balances the benefits of both electric vehicles users and charging stations well and achieves a win-win goal for both.

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Cited By

Qazi SKhawaja BAlamri AAlKassem A(2024)Fair Energy Trading in Blockchain-Inspired Smart Grid: Technological Barriers and Future Trends in the Age of Electric VehiclesWorld Electric Vehicle Journal10.3390/wevj1511048715:11(487)Online publication date: 27-Oct-2024
https://doi.org/10.3390/wevj15110487

Index Terms

Research on Charging Strategy of Electric Vehicles Considering Bilateral Benefits
1. Networks
  1. Network services
    1. Network management

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ICBDT '23: Proceedings of the 2023 6th International Conference on Big Data Technologies

September 2023

441 pages

ISBN:9798400707667

DOI:10.1145/3627377

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 04 December 2023

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ICBDT 2023

ICBDT 2023: 2023 6th International Conference on Big Data Technologies

September 22 - 24, 2023

Qingdao, China

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Cited By

Qazi SKhawaja BAlamri AAlKassem A(2024)Fair Energy Trading in Blockchain-Inspired Smart Grid: Technological Barriers and Future Trends in the Age of Electric VehiclesWorld Electric Vehicle Journal10.3390/wevj1511048715:11(487)Online publication date: 27-Oct-2024
https://doi.org/10.3390/wevj15110487

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