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Influence of external environmental factors on range estimation of autonomous hybrid vehicles

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
7th International Conference System Safety: Human - Technical Facility - Environment, CzOTO 2018 (7 ; 12-14.12.2018 ; Zakopane, Poland)
Języki publikacji
EN
Abstrakty
EN
During our research, we focus on a less researched area in the development of autonomous vehicles. Automotive industry is turning more and more from conventional, internal combustion engine equipped vehicles to the electric cars. Today, electric driving is mostly limited to urban traffic, this is the area where range and refueling limits can be a real alternative. However, it is important to think of those who intend to use vehicle in longer distances, and hybrid technology can provide them a modern, environmentally conscious way of transport. In this article, we describe the method of creating the fuel consumption influencing factors matrix, which is the starting point of our research. We studied relevant researches and based on refueling studies we created the matrix. Based on results of real tests, we determined the factor mix that are the basis of our fuel consumption prediction model. These results will be inputs of planning routes of autonomous vehicles with optimized refueling and fuel consumption.
Wydawca
Rocznik
Strony
472--480
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
  • BME Budapest University of Technology and Economics, Hungary
  • BME Budapest University of Technology and Economics, Hungary
Bibliografia
  • [1] Xu, Q., Yang. K., Peng, S., Hong, L., 2018. A Distance-Adaptive Refueling Recommendation Algorithm for Self-Driving Travel. March, International Journal of Geo-Information 7(3):94. DOI:10.3390/ijgi7030094
  • [2] LKW-Einkauf, Logistik inside. https://www.gefahrgutnline.de/fm/3576/LOGISTIK_inside_LKW_Dieselverbrauch.pdf
  • [3] Delp, M., Autonomous vehicle refueling locator. US9400500B2. https://patents.google.com/patent/US9400500
  • [4] Csiszár, Cs,, Csonka, B., Földes, D., Wirth, E., Lovas, T., 2018. Az országos átjárhatóságat biztosító elektromos villám töltő-állomások helyszínét kijelölő módszer. Közlekedéstudományi szemle, Közlekedéstudományi szemle, 68 (1-4).
  • [5] Jakobson, C., 2016. Einflussgrößen auf den Kraftstoffverbrauch. Teil 1 Limousinen, Der Autokritiker. http://derautokritiker.de/technik/151016_Einflussgr%C3%B6%C3%9Fen%20auf%20den%20Kraftstoffverbrauch%20Limousinen.pdf
  • [6] Gołębiewski, W. Stoeck, T., 2014. Prediction of the Mileage Fuel Consumption of Passenger Car in the Urban Driving Cycle. Teka Commission of motorization and energetics in agriculture, Vol. 14, No. 3, 17–24.
  • [7] https://www.bussgeldkatalog.org/sprit-sparen/sparsame-autos/ - 2018.12.01.
  • [8] https://www.marktundmittelstand.de/themen/nutzfahrzeuge/die-zukunft-des-autos-istnicht-nur-elektrisch-1262591/ - 2018.11.28.
  • [9] Almér, H., 2015. Machine learning and statistical analysis in fuelconsumption prediction for heavy vehicles. Master’s Thesis at CSC. https://www.diva-portal.org/smash/get/diva2:846386/FULLTEXT01.pdf
  • [10] Ritz, J., Mobilitätswende – Autonome Autos erobern unsere Strassen 5,6. Springer Verlag. ISBN 978-3-658-20953-7
  • [11] Rabl, H., Makarenko, I., 2008. Spritsparendes Autofahren University of Applied Sciences Regensburg. Wissenschaftszentrum Straubing, 8.
  • [12] Rumbholz, P., Untersuchung der Fahrereinflüsse auf den Energieverbrauch und die Potentiale von verbrauchsreduzierende Verzögerungsassistenzfunktionen bei PKW.
  • [13] www.sae.org/misc/pdfs/automated_driving.pdf
  • [14] www.vda.de/de/themen/innovation-und-technik/automatisiertes-fahren/automatisiertes-fahren.html
  • [15] Polak, F., 2018. REV’s Hybrid Vehicle Range Modeling. Journal of KONES Powertrain and Transport, Vol. 25, No. 2, 281-286. DOI: 10.5604/01.3001.0012.2814
  • [16] Varga, B., Iclodean, C., Mariasiu, F., 2016. Energetic Efficiency of Vehicles Equipped with Hybrid and Electric Drive Systems. Electric and Hybrid Buses for Urban Transport. DOI: 10.1007/978-3-319-41249-8_2
  • [17] Török, A., Török, A., Heinitz, F., 2014. Usage of Production Functions in the Comparative Analysis of Transport Related Fuel Consumption. Transport and Telecommunication Journal, 15(4), 292-298. https://doi.org/10.2478/ttj-2014-0025
  • [18] Ildarkhanov, R., 2017. The Calculation of the Fuel Cost for a Car. Periodica Polytechnica Transportation Engineering. doi: https://doi.org/10.3311/PPtr.10553
  • [19] Szalay, Z., Tettamanti, T., Esztergár-Kiss, D., Varga, I., Bartolini, C., 2018. Development of a Test Track for Driverless Cars: Vehicle Design, Track Configuration, and Liability Considerations. Periodica Polytechnica Transportation Engineering, 46(1), 29-35. doi: https://doi.org/10.3311/PPtr.10753
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-16a8c1d1-2076-4849-89bc-676c6dc5387c
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