Advertisement

A Comparative Study of Vehicle Drive Performance and Energy Efficiency

  • S. Abdul Rahman
  • P. D. Walker
  • N. Zhang
  • J. G. Zhu
  • H. Du
Conference paper

Abstract

In this paper, two types of increasingly more efficient and greener vehicles are analyzed and compared. These vehicles are: a proposed conceptual series-parallel powertrain, the University of Technology, Sydney plug-in hybrid electric vehicle (UTS PHEV); and, a conventional series-parallel hybrid electric vehicle with an internal combustion engine.. The UTS PHEV requires only a single electric machine to function as an electric motor or generator in different time intervals controlled by a special energy management strategy. The UTS PHEV uses two energy storage devices, the battery and the ultracapacitor, which can work together effectively to maintain the state of charge at a high level in order to improve the vehicle drive performance and energy efficiency. With the assistance of a novel automatic transmission, the UTS PHEV can operate under multiple modes to suit the needs of various driving cycles including those in an emergency. A special power and energy management strategy was developed to control the power flows within the vehicle according to the desired operating mode. The overall structure of UTS PHEV, known as UTS PHEV code are derived and implemented numerically in the MATLAB/SIMULINK environment for further analysis. Through simulations, the performance of the UTS PHEV has been evaluated in terms of the fuel economy, all electric range (AER), electrical consumption and operation cost for low and high density traffic patterns drive cycles. The comparison between the performance and efficiency of the UTS PHEV and those obtained results using existing powertrains are also presented. The obtained results demonstrate that the UTS PHEV outperforms most existing powertrains and has great potential in applications to passenger cars for city and urban transportations.

Keywords

Electrical Consumption Internal Combustion Engine Electric Machine Fuel Economy Hybrid Electric Vehicle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abdul Rahman, S., Zhang, N., Zhu, J.G.: A Comparative Analysis of Fuel Economy and Emissions between a Conventional HEV and the UTS PHEV. IEEE Transactions on Vehicular Technology for Special Issue on Vehicle Power and Propulsion 60, 44–54 (2010)Google Scholar
  2. Abdul Rahman, S., Zhang, N., Zhu, J.G.: Recent Advancements in Management of Hybrid Vehicle Powertrains. In: International Conference on Sustainable Automotive Technologies 2008, Australia, pp. 1–4 (November 2008)Google Scholar
  3. Yoo, H., Sul, S.K., Park, Y., Jeong, J.: System Integration and Power Flow Managements for a Series Hybrid Electric Vehicle using Supercapacitors and Batteries. IEEE Transactions on Industry Applications 44(1), 108–114 (2008)CrossRefGoogle Scholar
  4. Gonder, J., Markel, T.: Energy Management Strategies for Plug-in Hybrid Electric Vehicles. Presented at the 2007 SAE World Congress, Detroit, Michigan (April 2007)Google Scholar
  5. Markel, T., Wipke, K.: Modeling Grid-Connected Hybrid Electric Vehicles Using ADVISOR. In: Proceedings of the Sixteenth Annual Battery Conference on Applications and Advance, Long Beach, California (January 2001)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • S. Abdul Rahman
    • 1
  • P. D. Walker
    • 2
  • N. Zhang
    • 2
  • J. G. Zhu
    • 2
  • H. Du
    • 3
  1. 1.Department of Physical Science, Faculty of Science and TechnologyUniversiti Malaysia TerengganuKuala TerengganuMalaysia
  2. 2.School of Electrical, Mechanical and Mechatronic Systems, Faculty of Engineering and Information TechnologyUniversity of Technology, SydneyBroadwayAustralia
  3. 3.School of Electrical, Computer and Telecommunications Engineering, Faculty of InformaticsUniversity of WollongongWollongongAustralia

Personalised recommendations