Abstract
Electric vehicle autonomy is a common problem transporting passengers in urban areas. The present paper reveals a comparison and behavior analysis of a compact class vehicle when the urban driving cycle is applied through simulation in ADVISOR open source software. Three types of energy sources on board are proposed and tested through the urban driving cycle on the same full electric vehicle model. Results and interpretations of the autonomy and performances of the full EV are concluding this paper.
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References
Jeong, N.T., Yang, S.M., Kim, K.S., Wang, M.S., Kim, H.S., Suh, M.W.: Urban driving cycle for performance evaluation of electric vehicles. Int. J. Automot. Technol. 17(1), 145–151 (2016)
University of Illinois Urbana/Campaign contract XCB-5-15296-01 NREL
Lesster, L.E., Lindberg, F.A., Young, R.M., Hall, W.B.: An Induction-Motor Power Train for EVs - The Right Power at the Right Price, vol. 860, pp. 170–173. Department of Commerce Technology Administration in NIST SPECIAL PUBLICATION, United States (1993). Advanced components for electric and hybrid electric vehicles by NIST
Paul Dan Stanescu Oprișa, Autovehicule Electrice, Hibride și cu Pile de Combustie. Politehnica, Timișoara (2015). ISBN: 978-606-35-0011-4
Eshani, M., Gao, Y., Gay, S.E., Emadi, A., Electric, Modern, Electric, Hybrid: Modern Electric, Hybrid Electric, and Fuel Cell Vehicles – Fundamentals, Theory and Design. CRC Press LLC, Boca Raton, London, New York, Washington DC (2005). ISBN 0-8493-3154-4
Buchmann, I.: Batteries in a Portable World, 2nd edn. Cadex Electronics Inc. (2001). ISBN: 978-0968211823
BU-205: Types Lithium – Ion
Markel, T., Brooker, A., Hendricks, T., Johnson, V., Kelly, K., Kramer, B., O’Keefe, M., Sprik, S., Wipke, K.: ADVISOR: a systems analysis tool for advanced vehicle modeling. J. Power Sources 110, 255–266 (2002)
Acknowledgments
The present paper was partially financed by POLITEHNICA University Timisoara, Interreg Danube Transnational Programme DTP 1-454-3.1-eGUTS a financing instrument of instrument of the European Territorial Cooperation (ETC). Mathworks and Gamax Laboratory Solutions Ltd in proving academic license for Matlab 2018a and AVL AST Software.
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Lontis, N.S., Mihon, L.N. (2019). Comparison and Behavior Analysis in Relation to Autonomy of Urban Driving Cycle for Compact Class Full Electric Vehicle Using ADVISOR Numerical Simulations. In: Burnete, N., Varga, B. (eds) Proceedings of the 4th International Congress of Automotive and Transport Engineering (AMMA 2018). AMMA2018 2018. Proceedings in Automotive Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-94409-8_31
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DOI: https://doi.org/10.1007/978-3-319-94409-8_31
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