Advertisement

Optimization of the Range Extender Mounting System for Electric Vehicle

  • Yutao Luo
  • En-ming Lai
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 201)

Abstract

In this chapter, the mounting system of a range extended electric vehicle is studied. The energy decoupling method and the stiffness matrix method is applied. The optimization calculation of the range extender mounting system is carried out in MATLAB and ADAMS, and the results show that there is good consistency between them. Energy decoupling method is well known to decouple the engine mounting system. The energy distribution of dominant vibration is selected as the objective function under stiffness and natural frequency constraints. The traditional optimal algorithms such as sequential quadratic programming and genetic algorithms are adopted in the energy decoupling optimization for the range extender mounting system. Both optimal coordinates of installation location and best stiffness values are achieved through genetic algorithm method and sequential quadratic programming method. Consequently, the result calculated by genetic algorithm is considered as the final result of energy decoupling method, because genetic algorithm is a global optimum algorithm but sequential quadratic programming is not. The optimum results show that the energy decoupling of genetic algorithms and stiffness matrix method are reliable and accurate. However, the energy decoupling method based on genetic algorithm will be better. A reliable basis is provided for the further optimization design of engine mounting system.

Keywords

Mounting system Genetic algorithm Decoupling Optimization 

Notes

Acknowledgments

This research is sponsored by Chinese National High-tech Project (863) (Grant No: 2012AA110702) and Supported by Program for New Century Excellent Talents in University (Grant No: NCET-11-0157).

References

  1. 1.
    Chan CC (2002) The state of the art of electric and hybrid vehicles. Proc IEEE 90(2):249–275Google Scholar
  2. 2.
    Shian X (1995) The decoupling approach to engine mounting system. Automot Eng 17(4):198–204Google Scholar
  3. 3.
    Hongyu Y, Shian X (1993) The optimization and energy decoupling method of engine mounting system. Automot Eng 15(6):321–328Google Scholar
  4. 4.
    Swanson DA et al (1993) Optimization of aircraft engine suspension systems. J Aircr 30(6):979–984CrossRefGoogle Scholar
  5. 5.
    Tao JS, Liu GR, Lam KY (2000) Design optimization of marine engine mount system. J Sound Vib 235(3):477–494CrossRefGoogle Scholar
  6. 6.
    Wenku S et al (2006) Automobile multi-objective optimization design of powertrain mounting system and software development. J Jilin Univ 9(5):654–658Google Scholar
  7. 7.
    Zhang Q et al (2008) The study of fuel cell car powertrain mounting system design using MATLAB and ADAMS. In: International conference on computer science and software engineering, pp 1106–1109Google Scholar
  8. 8.
    Cho S (2000) Configuration and sizing design optimization of powertrain mounting system. Int Veh Des 24(1):34–37CrossRefGoogle Scholar
  9. 9.
    Pang J et al (2006) Automotive noise and vibration: principle and application. Beijing Institute of Technology Press, ChinaGoogle Scholar
  10. 10.
    Liping C et al (2005) Mechanical system dynamics analysis and the application tutorial of ADAMS. Tsinghua University Press, BeijingGoogle Scholar
  11. 11.
    Lee DH, Hwang WS (2002) Design sensitivity analysis and optimization of an engine mount system using an based substructuring method. J Sound Vib 255:383–397 Google Scholar
  12. 12.
    Jianfeng H et al (2011) Multi-objective optimization of hybrid electric vehicle powertrain mounting system using hybrid genetic algorithm. Appl Mech Mater 87:30–37CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.School of Mechanical and Automotive EngineeringSouth China University of TechnologyGuangzhouP. R. China

Personalised recommendations