Dynamic-Area-Based Shortest-Path Algorithm for Intelligent Charging Guidance of Electric Vehicles
| Autor: | Dewang Chen, Weijing Pan, Junpeng Cai, Shixiong Jiang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
business.product_category
Computer science 020209 energy Geography Planning and Development Real-time computing TJ807-830 02 engineering and technology Management Monitoring Policy and Law TD194-195 Renewable energy sources Charging station Robustness (computer science) 0502 economics and business Electric vehicle 0202 electrical engineering electronic engineering information engineering GE1-350 050210 logistics & transportation Environmental effects of industries and plants Renewable Energy Sustainability and the Environment intelligent charging guidance 05 social sciences electric vehicle Dijkstra algorithm dynamic area Environmental sciences business Dijkstra's algorithm |
| Zdroj: | Sustainability, Vol 12, Iss 7343, p 7343 (2020) Sustainability Volume 12 Issue 18 |
| ISSN: | 2071-1050 |
| Popis: | With the increasing popularization and competition of electric vehicles (EVs), EV users often have anxiety on their trip to find better charging stations with less travel distance. An intelligent charging guidance strategy and two algorithms were proposed to alleviate this problem. First, based on the next destination of EV users&rsquo trip, the strategy established a dynamic-area model to match charging stations with users&rsquo travel demand intelligently. In the dynamic area, the Dijkstra algorithm is used to find the charging station with the shortest trip. Then, the area extension algorithm and the charging station attribution algorithm were developed to improve the robustness of the dynamic area. The two algorithms can automatically adjust the area size according to the number of charging stations in the dynamic area to reduce the number of nodes traversed by the Dijkstra algorithm. Finally, simulation examples were used to verify the effectiveness of the proposed model and algorithms. The results showed that the proposed intelligent charging guidance strategy can meet the travel demand of users. It is a promising technique in smart cities to find better travel trips with less travel distance and less computed time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|