Prediction of the Charging Probability of Electric Vehicles with Different Power Levels
As the market share of electric vehicles (EVs) increases year by year, their charging load forecasting has become a research hotspot and a difficulty. Aiming at the shortcomings of the current research on the charging probability prediction of EVs with different power levels, this paper proposes a m...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/4/196 |
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| author | Wei Zeng Jun-Jie Xiong Xin Li Xiang-Yu Liu Zhao-Xia Xiao |
| author_facet | Wei Zeng Jun-Jie Xiong Xin Li Xiang-Yu Liu Zhao-Xia Xiao |
| author_sort | Wei Zeng |
| collection | DOAJ |
| description | As the market share of electric vehicles (EVs) increases year by year, their charging load forecasting has become a research hotspot and a difficulty. Aiming at the shortcomings of the current research on the charging probability prediction of EVs with different power levels, this paper proposes a multi-power-level EV charging probability prediction method. Firstly, based on the characteristics of electric vehicles, the power of charging facilities, and the travel habits of owners, the SOC mathematical models of charging start time, as well as the start and end state of charge, are established, and the different charging power selection models are established in combination with the parking time. Then, the Monte Carlo simulation method is used to predict the charging probability of electric vehicles with different power levels on typical dates such as working days, weekends, and holidays. |
| format | Article |
| id | doaj-art-d963a8a7459548c7bd6dc82d800bf716 |
| institution | OA Journals |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-d963a8a7459548c7bd6dc82d800bf7162025-08-20T02:25:04ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-03-0116419610.3390/wevj16040196Prediction of the Charging Probability of Electric Vehicles with Different Power LevelsWei Zeng0Jun-Jie Xiong1Xin Li2Xiang-Yu Liu3Zhao-Xia Xiao4Electric Power Research Institute of State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330006, ChinaElectric Power Research Institute of State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330006, ChinaCentral China Branch of State Grid Corporation of China, Wuhan 430077, ChinaTianjin Key Laboratory of Intelligent Control of Electrical Equipment, Tiangong University, Tianjin 300387, ChinaTianjin Key Laboratory of Intelligent Control of Electrical Equipment, Tiangong University, Tianjin 300387, ChinaAs the market share of electric vehicles (EVs) increases year by year, their charging load forecasting has become a research hotspot and a difficulty. Aiming at the shortcomings of the current research on the charging probability prediction of EVs with different power levels, this paper proposes a multi-power-level EV charging probability prediction method. Firstly, based on the characteristics of electric vehicles, the power of charging facilities, and the travel habits of owners, the SOC mathematical models of charging start time, as well as the start and end state of charge, are established, and the different charging power selection models are established in combination with the parking time. Then, the Monte Carlo simulation method is used to predict the charging probability of electric vehicles with different power levels on typical dates such as working days, weekends, and holidays.https://www.mdpi.com/2032-6653/16/4/196charging probability predictionelectric vehiclescharging behaviorcharging powerMonte Carlo algorithm |
| spellingShingle | Wei Zeng Jun-Jie Xiong Xin Li Xiang-Yu Liu Zhao-Xia Xiao Prediction of the Charging Probability of Electric Vehicles with Different Power Levels World Electric Vehicle Journal charging probability prediction electric vehicles charging behavior charging power Monte Carlo algorithm |
| title | Prediction of the Charging Probability of Electric Vehicles with Different Power Levels |
| title_full | Prediction of the Charging Probability of Electric Vehicles with Different Power Levels |
| title_fullStr | Prediction of the Charging Probability of Electric Vehicles with Different Power Levels |
| title_full_unstemmed | Prediction of the Charging Probability of Electric Vehicles with Different Power Levels |
| title_short | Prediction of the Charging Probability of Electric Vehicles with Different Power Levels |
| title_sort | prediction of the charging probability of electric vehicles with different power levels |
| topic | charging probability prediction electric vehicles charging behavior charging power Monte Carlo algorithm |
| url | https://www.mdpi.com/2032-6653/16/4/196 |
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