Research on charging behavior of electric vehicles based on multiple objectives
This paper proposes a multi-objective queuing charging strategy for electric vehicles (EVs) based on metrics of public interest. It combines common charging modes, such as random charging mode, tariff-guided mode and stop-and-charge mode. It introduces the problem of queuing charging for EVs by cons...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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AIMS Press
2023-07-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023700?viewType=HTML |
| _version_ | 1797739770477019136 |
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| author | Tien-Wen Sung Wei Li Qiaoxin Liang Chuanbo Hong Qingjun Fang |
| author_facet | Tien-Wen Sung Wei Li Qiaoxin Liang Chuanbo Hong Qingjun Fang |
| author_sort | Tien-Wen Sung |
| collection | DOAJ |
| description | This paper proposes a multi-objective queuing charging strategy for electric vehicles (EVs) based on metrics of public interest. It combines common charging modes, such as random charging mode, tariff-guided mode and stop-and-charge mode. It introduces the problem of queuing charging for EVs by considering the realistic imbalances of vehicle-pile ratios in these common modes. A travel model and a charging model were developed in this study. Experiments prove that the proposed strategy has the highest comprehensive evaluation index, achieves the aim of low charging cost and high travel rate and considers the queuing problem, which is unavoidable in reality. It improves the convenience of life and reduces the charging cost. The proposed strategy smoothens the EV charging load curve, largely reducing the burden of charging load fluctuations on the grid and achieving a win-win situation for both supply and demand. |
| first_indexed | 2024-03-12T14:02:55Z |
| format | Article |
| id | doaj.art-9864cf662ece495c9ab739730e23d8de |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-03-12T14:02:55Z |
| publishDate | 2023-07-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-9864cf662ece495c9ab739730e23d8de2023-08-22T01:39:26ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-07-01209157081573610.3934/mbe.2023700Research on charging behavior of electric vehicles based on multiple objectivesTien-Wen Sung0Wei Li1Qiaoxin Liang2Chuanbo Hong3Qingjun Fang4Fujian Provincial Key Laboratory of Big Data Mining and Applications, College of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, ChinaFujian Provincial Key Laboratory of Big Data Mining and Applications, College of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, ChinaFujian Provincial Key Laboratory of Big Data Mining and Applications, College of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, ChinaFujian Provincial Key Laboratory of Big Data Mining and Applications, College of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, ChinaFujian Provincial Key Laboratory of Big Data Mining and Applications, College of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, ChinaThis paper proposes a multi-objective queuing charging strategy for electric vehicles (EVs) based on metrics of public interest. It combines common charging modes, such as random charging mode, tariff-guided mode and stop-and-charge mode. It introduces the problem of queuing charging for EVs by considering the realistic imbalances of vehicle-pile ratios in these common modes. A travel model and a charging model were developed in this study. Experiments prove that the proposed strategy has the highest comprehensive evaluation index, achieves the aim of low charging cost and high travel rate and considers the queuing problem, which is unavoidable in reality. It improves the convenience of life and reduces the charging cost. The proposed strategy smoothens the EV charging load curve, largely reducing the burden of charging load fluctuations on the grid and achieving a win-win situation for both supply and demand.https://www.aimspress.com/article/doi/10.3934/mbe.2023700?viewType=HTMLelectric vehicle chargingqueuing chargingmulti-objective optimizationvehicle-pile ratiosgrid load |
| spellingShingle | Tien-Wen Sung Wei Li Qiaoxin Liang Chuanbo Hong Qingjun Fang Research on charging behavior of electric vehicles based on multiple objectives Mathematical Biosciences and Engineering electric vehicle charging queuing charging multi-objective optimization vehicle-pile ratios grid load |
| title | Research on charging behavior of electric vehicles based on multiple objectives |
| title_full | Research on charging behavior of electric vehicles based on multiple objectives |
| title_fullStr | Research on charging behavior of electric vehicles based on multiple objectives |
| title_full_unstemmed | Research on charging behavior of electric vehicles based on multiple objectives |
| title_short | Research on charging behavior of electric vehicles based on multiple objectives |
| title_sort | research on charging behavior of electric vehicles based on multiple objectives |
| topic | electric vehicle charging queuing charging multi-objective optimization vehicle-pile ratios grid load |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2023700?viewType=HTML |
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