The analysis of available data on energy efficiency of electric vehicles to be used for eco-driving project development
Апстракт
The goal of this paper is to analyse the collected data on energy efficiency of electric vehicles from researches done by other authors and also to summarise all the factors affecting it. The majority of data available are obtained through simula-tions – therefore the emphasis in this paper will be placed on experimentally acquired data. The results of the analysis will be used for the planned e-bus eco-driving project for the purpose of Belgrade’s public transportation system. Currently there are only 5 (ultracapacitor type) e-buses operating in Belgrade city public transport, which makes only 0.2 % of all vehicles in rolling stock (making 16 % together with other electric-powered vehicles – trams and trolleybuses), but there are plans to acquire new 80 electric buses. With the rise of the number of electric vehicles, appropriate training of drivers is gaining more and more importance, and the results of the presented analysis make the basis for such training. This will hopefully incr...ease the range of the buses used and help save the energy spent by public transportation, thus giving a little contribution to global fight for cleaner planet.
Кључне речи:
electric vehicles / energy efficiency / energy consumption / eco-driving / public transportationИзвор:
Science and Technique: Proceedings of the 16th European Automotive Congress - EAEC 2019, 2019, 18, 6, 504-508Издавач:
- Belarusian National Technical University
Финансирање / пројекти:
- Научно-технолошка подршка унапређењу безбедности специјалних друмских и шинских возила (RS-MESTD-Technological Development (TD or TR)-35045)
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Maljković, Miloš AU - Stamenković, Dragan AU - Blagojević, Ivan AU - Popović, Vladimir PY - 2019 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5725 AB - The goal of this paper is to analyse the collected data on energy efficiency of electric vehicles from researches done by other authors and also to summarise all the factors affecting it. The majority of data available are obtained through simula-tions – therefore the emphasis in this paper will be placed on experimentally acquired data. The results of the analysis will be used for the planned e-bus eco-driving project for the purpose of Belgrade’s public transportation system. Currently there are only 5 (ultracapacitor type) e-buses operating in Belgrade city public transport, which makes only 0.2 % of all vehicles in rolling stock (making 16 % together with other electric-powered vehicles – trams and trolleybuses), but there are plans to acquire new 80 electric buses. With the rise of the number of electric vehicles, appropriate training of drivers is gaining more and more importance, and the results of the presented analysis make the basis for such training. This will hopefully increase the range of the buses used and help save the energy spent by public transportation, thus giving a little contribution to global fight for cleaner planet. PB - Belarusian National Technical University T2 - Science and Technique: Proceedings of the 16th European Automotive Congress - EAEC 2019 T1 - The analysis of available data on energy efficiency of electric vehicles to be used for eco-driving project development EP - 508 IS - 6 SP - 504 VL - 18 DO - 10.21122/2227-1031-7448-2019-18-6-504-508 ER -
@article{ author = "Maljković, Miloš and Stamenković, Dragan and Blagojević, Ivan and Popović, Vladimir", year = "2019", abstract = "The goal of this paper is to analyse the collected data on energy efficiency of electric vehicles from researches done by other authors and also to summarise all the factors affecting it. The majority of data available are obtained through simula-tions – therefore the emphasis in this paper will be placed on experimentally acquired data. The results of the analysis will be used for the planned e-bus eco-driving project for the purpose of Belgrade’s public transportation system. Currently there are only 5 (ultracapacitor type) e-buses operating in Belgrade city public transport, which makes only 0.2 % of all vehicles in rolling stock (making 16 % together with other electric-powered vehicles – trams and trolleybuses), but there are plans to acquire new 80 electric buses. With the rise of the number of electric vehicles, appropriate training of drivers is gaining more and more importance, and the results of the presented analysis make the basis for such training. This will hopefully increase the range of the buses used and help save the energy spent by public transportation, thus giving a little contribution to global fight for cleaner planet.", publisher = "Belarusian National Technical University", journal = "Science and Technique: Proceedings of the 16th European Automotive Congress - EAEC 2019", title = "The analysis of available data on energy efficiency of electric vehicles to be used for eco-driving project development", pages = "508-504", number = "6", volume = "18", doi = "10.21122/2227-1031-7448-2019-18-6-504-508" }
Maljković, M., Stamenković, D., Blagojević, I.,& Popović, V.. (2019). The analysis of available data on energy efficiency of electric vehicles to be used for eco-driving project development. in Science and Technique: Proceedings of the 16th European Automotive Congress - EAEC 2019 Belarusian National Technical University., 18(6), 504-508. https://doi.org/10.21122/2227-1031-7448-2019-18-6-504-508
Maljković M, Stamenković D, Blagojević I, Popović V. The analysis of available data on energy efficiency of electric vehicles to be used for eco-driving project development. in Science and Technique: Proceedings of the 16th European Automotive Congress - EAEC 2019. 2019;18(6):504-508. doi:10.21122/2227-1031-7448-2019-18-6-504-508 .
Maljković, Miloš, Stamenković, Dragan, Blagojević, Ivan, Popović, Vladimir, "The analysis of available data on energy efficiency of electric vehicles to be used for eco-driving project development" in Science and Technique: Proceedings of the 16th European Automotive Congress - EAEC 2019, 18, no. 6 (2019):504-508, https://doi.org/10.21122/2227-1031-7448-2019-18-6-504-508 . .