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  2. Матеріали конференцій, семінарів, читань
  3. 2019
  4. Міжнародна науково-технічна конференція „Актуальні проблеми транспорту ICCPT“ (2019)
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dc.contributor.authorDembitskyi, Valerii
dc.contributor.authorSitovskyi, Oleg
dc.contributor.authorPavliuk, Vasyl
dc.coverage.temporal28-29 травня 2019 року
dc.coverage.temporalMay 28-29, 2019
dc.date.accessioned2019-07-09T06:30:48Z-
dc.date.available2019-07-09T06:30:48Z-
dc.date.created2019-05-28
dc.date.issued2019-05-28
dc.identifier.citationDembitskyi V. Influence of a system “vehicle – driver – road – environment” on the energy efficiency of the vehicles with electric drive / Valerii Dembitskyi, Oleg Sitovskyi, Vasyl Pavliuk // Proceedings of ICCPT 2019, May 28-29, 2019. — Tern. : TNTU, Scientific Publishing House “SciView”, 2019. — P. 162–173.
dc.identifier.isbn978-966-305-101-7
dc.identifier.urihttp://elartu.tntu.edu.ua/handle/lib/28705-
dc.format.extent162-173
dc.language.isoen
dc.publisherScientific Publishing House “SciView”
dc.publisherTNTU
dc.relation.ispartofМатеріали Міжнародної науково-технічної конференції „Актуальні проблеми транспорту“, 2019
dc.relation.ispartofProceedings of the 1-st International Scientific Conference "Current Problems of Transport", 2019
dc.relation.urihttps://doi.org/10.1016/j.trpro.2017.03.024
dc.relation.urihttps://doi.org/10.1016/j.trc.2017.05.004
dc.relation.urihttps://doi.org/10.1016/j.sbspro.2012.09.788
dc.relation.urihttps://doi.org/10.1016/j.trc.2016.02.016
dc.relation.urihttps://doi.org/10.1016/j.proeng.2011.08.1055
dc.relation.urihttps://doi.org/10.1016/j.egypro.2018.09.201
dc.relation.urihttps://doi.org/10.1016/j.ifacol.2018.10.100
dc.relation.urihttp://www.sciencedirect.com/science/article/pii/S2405896318325631
dc.relation.urihttps://doi.org/10.1177/1687814018809236
dc.relation.urihttp://pubs.acs.org/doi/full/10.1021/es505621s
dc.relation.urihttps://doi.org/10.1016/j.jpowsour.2016.07.038
dc.relation.urihttps://doi.org/10.3390/en8088573
dc.relation.urihttps://doi.org/10.1016/j.egypro.2017.03.655
dc.relation.urihttps://doi.org/10.1016/j.procs.2018.04.176
dc.relation.urihttps://doi.org/10.1007/s12239-016-0107-9
dc.titleInfluence of a system “vehicle – driver – road – environment” on the energy efficiency of the vehicles with electric drive
dc.typeConference Abstract
dc.rights.holder© Scientific Publishing House “SciView”, 2019
dc.rights.holder© Ternopil Ivan Puluj National Technical University, 2019
dc.coverage.placenameТернопіль
dc.coverage.placenameTernopil
dc.format.pages12
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Using real-world driving databases to generate driving cycles with equivalence properties, IEEE Transactions on Vehicular Technology, 2016; 65(6), 4095-4105. 13. Peihong Shen, Zhiguo Zhao, Jingwei Li, Xiaowen Zhan. Development of a typical driving cycle for an intra-city hybrid electric bus with a fixed route, Transportation Research Part D: Transport and Environment, 2018; 59, 346-360. 14. Wang, Y., Zhang, N., Wu, Y., Liu, B., & Wu, Y. A strategy of electrical energy management for internal combustion engine vehicle based on driving cycle recognition and electrical load perception. Advances in Mechanical Engineering, 2018. https://doi.org/10.1177/1687814018809236. 15. Rios-Torres, J.; Liu, J.; Khattak, A. Fuel consumption for various driving styles in conventional and hybrid electric vehicles: Integrating driving cycle predictions with fuel consumption optimization. International Journal of Sustainable Transportation, 2018; 1-15. 16. Yuksel, T.; Michalek, J. Effects of Regional Temperature on Electric Vehicle Efficiency, Range and Emissions in the United States, 2015; Available online at http://pubs.acs.org/doi/full/10.1021/es505621s, visited on 22/05/2015 17. Juuso Lindgren, Peter D. Lund. Effect of extreme temperatures on battery charging and performance of electric vehicles, Journal of Power Sources, 2016; 328, 37-45, https://doi.org/10.1016/j.jpowsour.2016.07.038. 18. De Cauwer, C., Van Mierlo, J., & Coosemans, T. Energy Consumption Prediction for Electric Vehicles Based on Real-World Data. Energies, 2015; 8(8), 8573-8593. https://doi.org/10.3390/en8088573. 19. Jiang-bo Wang, Kai Liu, Toshiyuki Yamamoto, Takayuki Morikawa, 2015. Improving Estimation Accuracy for Electric Vehicle Energy Consumption Considering the Effects of Ambient Temperature, Energy Procedia, 2017; 105, 2904-2909. https://doi.org/10.1016/j.egypro.2017.03.655. 20. De Gennaro, Michele, et al. Experimental investigation of the energy efficiency of an electric vehicle in different driving conditions. SAE Technical Paper, 2014. 10.4271/2014-01-1817. 21. Hu, K., Wu, J., & Schwanen, T. 2017. Differences in Energy Consumption in Electric Vehicles: An Exploratory Real-World Study in Beijing. 22. Gennaro Nicola Bifulco & Francesco Galante & Luigi Pariota & Maria Russo Spena, A Linear. Model for the Estimation of Fuel Consumption and the Impact Evaluation of Advanced Driving Assistance Systems, Sustainability, MDPI, Open Access Journal, 2015; 7(10), 1-18. 23. Zhang Qi, Jie Yang, Ruo Jia, Fan Wang. Investigating Real-World Energy Consumption of Electric Vehicles: A Case Study of Shanghai, Procedia Computer Science, 2018; 131, 367-376, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2018.04.176. 24. S. Grubwinkler, M. Hirschvogel and M. Lienkamp. Driver- and situation-specific impact factors for the energy prediction of EVs based on crowd-sourced speed profiles, IEEE Intelligent Vehicles Symposium Proceedings, 2014; Dearborn, MI, 1069-1076. doi: 10.1109/IVS.2014.6856501. 25. Pi, JM, Bak, YS, You, YK et al. Int.J Automot. Technol, 2016. 17: 1101. https://doi.org/10.1007/s12239-016-0107-9. 26. Z. Yi; P. H. Bauer. Effects of environmental factors on electric vehicle energy consumption: a sensitivity analysis, IET Electrical Systems in Transportation, 2017; 7(1), 3-13, 3 2017. doi: 10.1049/iet-est.2016.0011. 27. Z. Yi, P.H. Bauer. Sensitivity analysis of environmental factors for electric vehicles energy consumption, Vehicle Power and Propulsion Conf. (VPPC), pp. 1-6, October 2015. 28. Asamer, Johannes, et al. Sensitivity analysis for energy demand estimation of electric vehicles. Transportation Research Part D: Transport and Environment, 2016; 46, 182-199. doi: 10.1016/j.trd.2016.03.017. 29. Evtimov, I., Ivanov, R., & Sapundjiev, M. (2017). Energy consumption of auxiliary systems of electric cars. In MATEC Web of Conferences (Vol. 133, p. 06002). EDP Sciences. doi: 10.1051/matecconf/201713306002. 30. Dembitskyi V.M., Mazylyuk P.V., Pavlyashyk S.M. Adaptation driving cycle to real traffic conditions of city buses, Naukovi notatky. Mizhvuzivsʹkyy zbirnyk (Scientific notes. Intercollegiate collection), 2018; 62, 98–102. 31. Dembitskyi V.M., Sitovskyi O.P. The possibility of using Markov chains to predict the modes of traffic of vehicles, Suchasni tekhnolohiyi v mashynobuduvanni ta transporti. Naukovyy zhurnal (Modern technologies in mechanical engineering and transport. Scientific Journal), 2017; 2 (9), 36–42.
dc.identifier.citationenDembitskyi V., Sitovskyi O., Pavliuk V. (2019) Influence of a system “vehicle – driver – road – environment” on the energy efficiency of the vehicles with electric drive. Proceedings of ICCPT 2019 (Tern., May 28-29, 2019), pp. 162-173.
dc.contributor.affiliationLutsk National Technical University, Lvivska str., 75, Lutsk, 43000, Ukraine; dvm2@meta.ua
dc.citation.journalTitleМатеріали Міжнародної науково-технічної конференції „Актуальні проблеми транспорту“
dc.citation.spage162
dc.citation.epage173
dc.citation.conferenceМіжнародна науково-технічна конференція „Актуальні проблеми транспорту“
dc.citation.conferenceICCPT 2019
出現コレクション:Міжнародна науково-технічна конференція „Актуальні проблеми транспорту ICCPT“ (2019)

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