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Development of Analytical Algorithm for the Performance Analysis of Power Train System of an Electric Vehicle

  • Chul-Ho Kim
  • Kee-Man Lee
  • Sang-Heon Lee
Part of the Springer Proceedings in Physics book series (SPPHY, volume 135)

Abstract

Power train system design is one of the key R&D areas on the development process of new automobile because an optimum size of engine with adaptable power transmission which can accomplish the design requirement of new vehicle can be obtained through the system design. Especially, for the electric vehicle design, very reliable design algorithm of a power train system is required for the energy efficiency. In this study, an analytical simulation algorithm is developed to estimate driving performance of a designed power train system of an electric. The principal theory of the simulation algorithm is conservation of energy with several analytical and experimental data such as rolling resistance, aerodynamic drag, mechanical efficiency of power transmission etc. From the analytical calculation results, running resistance of a designed vehicle is obtained with the change of operating condition of the vehicle such as inclined angle of road and vehicle speed. Tractive performance of the model vehicle with a given power train system is also calculated at each gear ratio of transmission. Through analysis of these two calculation results: running resistance and tractive performance, the driving performance of a designed electric vehicle is estimated and it will be used to evaluate the adaptability of the designed power train system on the vehicle.

Keywords

Electric Vehicle Vehicle Speed Model Vehicle Gear Ratio Rolling Resistance 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Chul-Ho Kim
    • 1
  • Kee-Man Lee
    • 2
  • Sang-Heon Lee
    • 3
  1. 1.Seoul National University of TechnologyDepartment of Automotive EngineeringSeoulSouth Korea
  2. 2.School of Mechanical & Aerospace EngineeringSunchon National UniversitySunchon, JeonnamSouth Korea
  3. 3.School of Advanced Mechanical & Manufacturing EngineeringUniversity of South AustraliaAdelaideSouth Australia

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