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The Simulation of a Full Electric Vehicle Using the City Cycle

Year 2016, Volume: 5 Issue: 2, 38 - 46, 01.07.2016
https://doi.org/10.18245/ijaet.38209

Abstract

In this study, the design and simulation of an electric vehicle commonly being started to be used in twenty-first century have been done by Matlab program. As the vehicle model, a whole-electric vehicle has been accepted as model. In modeling an electric vehicle, the measures of an usable vehicle in today’s conditions and the technical features of electric motor commonly used in electric vehicle’s technology have been utilized. This model has been composed from DC motor used for electric motor’s stimulation and from the battery which provides enough energy to vehicle. In modeling electric vehicle, the UDDS city cycle has been used. According to this cycle, powers moving the vehicle and strength powers preventing its movement have been calculated and a data file which describes the movement characteristic of vehicle has been composed. In addition to this data file and UDDS cycle, the rates of power and torque which the vehicle need have been calculated. For the same cycle, the rates of essential power and torque for vehicle’s stimulation and the torque, power and current changes of electric motor have been obtained depending upon time.

References

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  • Lighty, J.S., Veranth, J.M., Sarofim, A.F. Combustion Aerosols: Factors Governing Their Size and Composition and Implications to human health, Journal of the Air & Waste Management Association, vol. 50, pp. 1565-1618, 2000
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  • Mebarki, N., Rekioua,T., Mokrani, Z., Rekioua, D. Supervisor control for stand-alone photovoltaic/hydrogen/battery bank system to supply energy to an electric vehicle, International Joournal of Hydrogen Energy, Vol.40, P. 13777-13788, 2015
  • Rizzo, G., Arsie, I., Sorrentino, M. Hybrid solar vehicles, Solar Collectors and Panels, Theory and Applications, P. 79-96, DOI:10.5772/10332, 2010
  • Sorrentino, M., Arsie, I., Rizzo, G, On the use of genetic algorithm to optimize the On-board energy management of a hybrid solar vehicle, Oil & Gas Science and Technology, Vol. 65, pp. 133-143, DOI: 10.2516/ogst/2009035, 2010
  • Zhang, X., Mi, C.C., Yin, C. Active-charging based powertrain control in series hybrid electric vehicles for efficiency improvement and battery lifetime extension. Journal of Power Sources Vol. 245, p. 292-300, 2014
  • Liu, J., Peng, H., Filipi, Z. Modeling and analysis of the toyota hybrid system. Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics Monterey, California, USA. 2005
  • Same, A., Stipe, A,. Grossman, D., Park, J.W. A study on optimization of hybrid drive train using Advanced Vehicle Simulator (ADVISOR). Journal of Power Sources, vol. 195, p. 6954–6963, 2010
  • Erşan, K., Ar,I., Tükek,S. Effect of Humidification of Gases on First Home Constructed PEM Fuel Cell Stack Potential Gazi University, Journal of Science, Vol. 23(1) pp. 61-69, 2010
  • Abd El Monem, A.A., Ahmed M. Azmy, A.M., Mahmoud, S.A. Effect of process parameters on the dynamic behavior of polymer electrolyte membrane fuel cells for electric vehicle applications Ain Shams Engineering Journal, Vol. 5 (1), pp. 75-84, 2014
  • Lv, C., Zhang, J., Li, Y., Yuan, Y. Novel control algorithm of braking energy regeneration system for an electric vehicle during safety–critical driving maneuvers, Energy conversion and management, Vol.106, pp. 520-529, doi:10.1016/j.enconman.2015.09.062, 2015
  • Bayindir, K.C., Gözüküçük, M.A., Teke, A. A comprehensive overview of hybrid electric vehicle: Powertrain configurations, powertrain control techniques and electronic control units, Energy Conversion and Management, Vol. 52, pp. 1305–1313, 2011
  • Pan, C., Chen, L., Chen, L., Jiang, H., Li, Z., Wang, S. Research on motor rotational speed measurement in regenerative braking system of electric vehicle, Mechanical system and signal processing, Vol. 66-67, pp. 829-839, doi:10.1016/j.ymssp.2015.06.001, 2015
  • Wai, C.K., Rong, Y.Y., Morris, S. Simulation of distance estimator for battery electric vehicle, Alexandria Engineering Journal, vol. 54, issue, 3, pp. 359-371, 2015
  • Gao, D.W., , Mi, C., , Emadi, A. Modeling and simulation of electric and hybrid vehicles Proceedings of the IEEE, Vol. 95, No. 4, pp. 729–745, 2007
  • Fei, G., Long, X.C., Pei, Z. Simulation of dynamic performance of an electric vehicle based on ADVISOR, Energy Education Science and Technology Part A: Energy Science and Research, Vol. 33, pp. 573-578, 2015
  • Gao, Y., An, Z., Yang, K., Wang, T., Chi, J., Meng, Q. The simulation of electromagnetic radiation of DC/DC converter for hybrid electric vehicle, Energy Education Science and Technology Part A: Energy Science and Research, Vol. 32(6), pp. 4563-4572, 2014
  • Hou, J., Guo, X. Modeling and Simulation of Hybrid Electric Vehicles Using HEVSIM and ADVISOR, IEEE Vehicle Power and Propulsion Conference (VPPC), Harbin, China, 2008
  • Mulhall, P., Lukic, S.M., Wirasingha, S.G., Lee, Y.J., Emadi, A. Solar-Assisted Electric Auto Rickshaw Three-Wheeler, IEEE transactions on vehicular technology, Vol. 59, NO. 5, 2010
  • Sadeghi, S., Milimonfared, J., Mirsalim, M. Dynamic Modeling and Simulation of a Series Hybrid Electric Vehicle Using a Switched Reluctance Motor, Proceeding of International Conference on Electrical Machines and Systems, 2007
  • Jalalifar, M., Farrokh. Payam, A., Mirzaeian, B., Saghaeiannezhad, S. M. Dynamic Modeling and Simulation of an Induction Motor with Adaptive Backstepping Design of an Input Output Feedback Linearization Controller in Series Hybrid Electric Vehicle Power Electronics, Drives and Energy Systems,. PEDES '06. International Conference on, 2006
  • Ehsani, M., Gao, Y., Emadi, A. Modern electric, hybrid electric, and fuel cell vehicles: fundamentals, theory and design, 2nd edn. CRC, London, 2010
Year 2016, Volume: 5 Issue: 2, 38 - 46, 01.07.2016
https://doi.org/10.18245/ijaet.38209

Abstract

References

  • Sulaiman, N., Hannan, M.A., Mohamed, A., Mojlan, E.H., WanDaud, W.R. A review on energy management system for fuel cell hybrid electric vehicle: Issues and challenges, Renewable and Sustainable Energy Reviews, Vol.52, pp. 802-814, 2015
  • Alkan, G, Hybrid transform design analysis of an urban bus summary, MsC thesis, Istanbul Technical University, Institute of Science, Istanbul, Turkey. 2008
  • Irani, A., Chalak, A. Harnessing motorists’ potential demand for hybrid-electric vehicles in Lebanon: Policy options, CO2 emissions reduction and welfare gains, Transport policy, p.144-155, doi:10.1016/j.tranpol.2015.06.001, 2015
  • Kunzli, N. Public health impact of outdoor and traffic-related air pollution: A European Assessment, The Lancet, Vol. 356, no. 9232, p. 795- 801, 2000
  • Bernstein, L. Intergovernmental panel on climate change fourth assessment report climate change 2007: Synthesis Report Summary for Policymakers, Available, www.ipcc.ch, 2008
  • Dimitrova, Z., Marechal, F. Techno–economic design of hybrid electric vehicles and possibilities of the multi-objective optimization structure, Applied Energy, Vol. 161, P. 746–759, doi:10.1016/j.apenergy.2015.09.071, 2015
  • Lighty, J.S., Veranth, J.M., Sarofim, A.F. Combustion Aerosols: Factors Governing Their Size and Composition and Implications to human health, Journal of the Air & Waste Management Association, vol. 50, pp. 1565-1618, 2000
  • Tüccar, G., Tosun, E., Özcanlı, M., Aydın, K. Possibility of Turkey to transit electric vehicle-based transportation, International Journal of Automotive Engineering and Technologies, vol. 2, issue 2, pp. 64-69, 2013
  • Suvak, H., Erşan, K. Simulation of A photovoltaic panel supported real time hybrid electric vehicle. IEEE Conference Publications, Renewable Energy Research and Aplication (ICRERA) İnternational Conference, Milwaukee, USA, pp. 529,534, DOI: 10.1109/ICRERA.2014.7016441, 2014
  • Mebarki, N., Rekioua,T., Mokrani, Z., Rekioua, D. Supervisor control for stand-alone photovoltaic/hydrogen/battery bank system to supply energy to an electric vehicle, International Joournal of Hydrogen Energy, Vol.40, P. 13777-13788, 2015
  • Rizzo, G., Arsie, I., Sorrentino, M. Hybrid solar vehicles, Solar Collectors and Panels, Theory and Applications, P. 79-96, DOI:10.5772/10332, 2010
  • Sorrentino, M., Arsie, I., Rizzo, G, On the use of genetic algorithm to optimize the On-board energy management of a hybrid solar vehicle, Oil & Gas Science and Technology, Vol. 65, pp. 133-143, DOI: 10.2516/ogst/2009035, 2010
  • Zhang, X., Mi, C.C., Yin, C. Active-charging based powertrain control in series hybrid electric vehicles for efficiency improvement and battery lifetime extension. Journal of Power Sources Vol. 245, p. 292-300, 2014
  • Liu, J., Peng, H., Filipi, Z. Modeling and analysis of the toyota hybrid system. Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics Monterey, California, USA. 2005
  • Same, A., Stipe, A,. Grossman, D., Park, J.W. A study on optimization of hybrid drive train using Advanced Vehicle Simulator (ADVISOR). Journal of Power Sources, vol. 195, p. 6954–6963, 2010
  • Erşan, K., Ar,I., Tükek,S. Effect of Humidification of Gases on First Home Constructed PEM Fuel Cell Stack Potential Gazi University, Journal of Science, Vol. 23(1) pp. 61-69, 2010
  • Abd El Monem, A.A., Ahmed M. Azmy, A.M., Mahmoud, S.A. Effect of process parameters on the dynamic behavior of polymer electrolyte membrane fuel cells for electric vehicle applications Ain Shams Engineering Journal, Vol. 5 (1), pp. 75-84, 2014
  • Lv, C., Zhang, J., Li, Y., Yuan, Y. Novel control algorithm of braking energy regeneration system for an electric vehicle during safety–critical driving maneuvers, Energy conversion and management, Vol.106, pp. 520-529, doi:10.1016/j.enconman.2015.09.062, 2015
  • Bayindir, K.C., Gözüküçük, M.A., Teke, A. A comprehensive overview of hybrid electric vehicle: Powertrain configurations, powertrain control techniques and electronic control units, Energy Conversion and Management, Vol. 52, pp. 1305–1313, 2011
  • Pan, C., Chen, L., Chen, L., Jiang, H., Li, Z., Wang, S. Research on motor rotational speed measurement in regenerative braking system of electric vehicle, Mechanical system and signal processing, Vol. 66-67, pp. 829-839, doi:10.1016/j.ymssp.2015.06.001, 2015
  • Wai, C.K., Rong, Y.Y., Morris, S. Simulation of distance estimator for battery electric vehicle, Alexandria Engineering Journal, vol. 54, issue, 3, pp. 359-371, 2015
  • Gao, D.W., , Mi, C., , Emadi, A. Modeling and simulation of electric and hybrid vehicles Proceedings of the IEEE, Vol. 95, No. 4, pp. 729–745, 2007
  • Fei, G., Long, X.C., Pei, Z. Simulation of dynamic performance of an electric vehicle based on ADVISOR, Energy Education Science and Technology Part A: Energy Science and Research, Vol. 33, pp. 573-578, 2015
  • Gao, Y., An, Z., Yang, K., Wang, T., Chi, J., Meng, Q. The simulation of electromagnetic radiation of DC/DC converter for hybrid electric vehicle, Energy Education Science and Technology Part A: Energy Science and Research, Vol. 32(6), pp. 4563-4572, 2014
  • Hou, J., Guo, X. Modeling and Simulation of Hybrid Electric Vehicles Using HEVSIM and ADVISOR, IEEE Vehicle Power and Propulsion Conference (VPPC), Harbin, China, 2008
  • Mulhall, P., Lukic, S.M., Wirasingha, S.G., Lee, Y.J., Emadi, A. Solar-Assisted Electric Auto Rickshaw Three-Wheeler, IEEE transactions on vehicular technology, Vol. 59, NO. 5, 2010
  • Sadeghi, S., Milimonfared, J., Mirsalim, M. Dynamic Modeling and Simulation of a Series Hybrid Electric Vehicle Using a Switched Reluctance Motor, Proceeding of International Conference on Electrical Machines and Systems, 2007
  • Jalalifar, M., Farrokh. Payam, A., Mirzaeian, B., Saghaeiannezhad, S. M. Dynamic Modeling and Simulation of an Induction Motor with Adaptive Backstepping Design of an Input Output Feedback Linearization Controller in Series Hybrid Electric Vehicle Power Electronics, Drives and Energy Systems,. PEDES '06. International Conference on, 2006
  • Ehsani, M., Gao, Y., Emadi, A. Modern electric, hybrid electric, and fuel cell vehicles: fundamentals, theory and design, 2nd edn. CRC, London, 2010
There are 29 citations in total.

Details

Journal Section Article
Authors

Hakan Suvak

Publication Date July 1, 2016
Submission Date December 21, 2015
Published in Issue Year 2016 Volume: 5 Issue: 2

Cite

APA Suvak, H. (2016). The Simulation of a Full Electric Vehicle Using the City Cycle. International Journal of Automotive Engineering and Technologies, 5(2), 38-46. https://doi.org/10.18245/ijaet.38209
AMA Suvak H. The Simulation of a Full Electric Vehicle Using the City Cycle. International Journal of Automotive Engineering and Technologies. July 2016;5(2):38-46. doi:10.18245/ijaet.38209
Chicago Suvak, Hakan. “The Simulation of a Full Electric Vehicle Using the City Cycle”. International Journal of Automotive Engineering and Technologies 5, no. 2 (July 2016): 38-46. https://doi.org/10.18245/ijaet.38209.
EndNote Suvak H (July 1, 2016) The Simulation of a Full Electric Vehicle Using the City Cycle. International Journal of Automotive Engineering and Technologies 5 2 38–46.
IEEE H. Suvak, “The Simulation of a Full Electric Vehicle Using the City Cycle”, International Journal of Automotive Engineering and Technologies, vol. 5, no. 2, pp. 38–46, 2016, doi: 10.18245/ijaet.38209.
ISNAD Suvak, Hakan. “The Simulation of a Full Electric Vehicle Using the City Cycle”. International Journal of Automotive Engineering and Technologies 5/2 (July 2016), 38-46. https://doi.org/10.18245/ijaet.38209.
JAMA Suvak H. The Simulation of a Full Electric Vehicle Using the City Cycle. International Journal of Automotive Engineering and Technologies. 2016;5:38–46.
MLA Suvak, Hakan. “The Simulation of a Full Electric Vehicle Using the City Cycle”. International Journal of Automotive Engineering and Technologies, vol. 5, no. 2, 2016, pp. 38-46, doi:10.18245/ijaet.38209.
Vancouver Suvak H. The Simulation of a Full Electric Vehicle Using the City Cycle. International Journal of Automotive Engineering and Technologies. 2016;5(2):38-46.