Optimization of the travel time of an electric vehicle with consideration of the recharging terminals
| Autor: | Yann Chamaillard, Cédric Nouillant, Saratou Souley, Kristan Gillet, Guillaume Colin, Antoine Simon |
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| Přispěvatelé: | Colin, Guillaume, Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), PSA Peugeot - Citroën (PSA), PSA Peugeot Citroën (PSA) |
| Rok vydání: | 2021 |
| Předmět: |
Dynamic Programming
Travel time business.product_category Electric vehicles Maximum power principle Computer science 020209 energy Recharging terminals 02 engineering and technology 7. Clean energy [SPI.AUTO]Engineering Sciences [physics]/Automatic Charging station Control theory 0502 economics and business Electric vehicle 0202 electrical engineering electronic engineering information engineering Battery electric vehicle 050210 logistics & transportation 05 social sciences Optimal control Power (physics) Dynamic programming [SPI.AUTO] Engineering Sciences [physics]/Automatic Terminal (electronics) Control and Systems Engineering business State of Energy |
| Zdroj: | 16th IFAC Symposium on Control in Transportation Systems, CTS 2021 16th IFAC Symposium on Control in Transportation Systems, CTS 2021, Jun 2021, Lille (virtual), France |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2021.06.017 |
| Popis: | International audience; This paper deals with the computation of the energy profile of a battery electric vehicle in order to find the optimal path in terms of travel time on a defined route in the presence of recharging terminals. The model used in this study to calculate the energy profile must respect constraints such as speed limits, desired initial and final battery energy states, and maximum terminal power. This problem can be written as an Optimal Control Problem and will be solved using the dynamic programming method in order to find the optimal speed and charging quantity at the terminal to save time. The results from a defined scenario show that recharging is done in favour of terminals with a higher maximum power and that our vehicle is constantly driving at the maximum speed allowed. The vehicle can also adapt its speed to reach the next charging station with the consideration of a waiting time at a station. The Dynamic Programming method allows us to respect the final energy constraints and shows that charging at high-powered terminals saves time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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