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Simultaneous Perturbation Stochastic Approximation Optimization for Energy Management Strategy of HEV

  • Muhammad Fadhlan Afif NazriEmail author
  • Muhammad Ikram Mohd Rashid
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 538)

Abstract

This paper addresses optimization for hybrid electric vehicle (HEV). This project is using a single agent method to optimize the power losses under a specific driving cycle which is simultaneous perturbation stochastic approximation (SPSA) based method. For optimization process, four gain are added in four main parts of the HEV system. Those main parts are engine, motor, generator and battery. These four gain is controlled the output for each component to give the minimum power losses. The design method is applied to free model of HEV by using Simulink/MATLAB software while M-File/MATLAB is used to apply the SPSA method. The result from design method achieved a minimum reduction of power losses compared to original system. Thus, the comparison of result has been done to show the different before and after optimization.

Keywords

Simultaneous perturbation stochastic approximation (SPSA) Optimization 

References

  1. 1.
    Ahmad, M.A.: Switching controller design for hybrid electric vehicles. SICE J. 7(5), 273–282 (2014)CrossRefGoogle Scholar
  2. 2.
    Wang, A.A.F.Q.: Plug-in HEV with CVT: configuration, control, and its concurrent multi-objective optimization by evolutionary algorithm. Int. J. Autom. Technol. 15(1), 103–115 (2014)CrossRefGoogle Scholar
  3. 3.
    Spall, J.C.: Multivariate stochastic approximation using a simultaneous perturbation gradient approximation. IEEE Trans. Autom. Control. 37(3), (1992)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Bansal, H.O.: A review of optimal energy management strategies for hybrid electric vehicle. Int. J. Veh. Technol, (2014)Google Scholar
  5. 5.
    Ahmad, M.A.: Model free tuning of variable state of charge target of hybrid electric vehicles. The International Federation of Automatic Control, (2013)Google Scholar
  6. 6.
    Spall, J.C.: An overview of simultaneous perturbation method for efficient optimization, John Hopkins APL Technical Digest, 19(4), (1998)Google Scholar
  7. 7.
    Prokhorov, D.: Toyota Prius HEV neuro control, In: Proceedings of International Joint Conference on Neural Networks (2007)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Muhammad Fadhlan Afif Nazri
    • 1
    Email author
  • Muhammad Ikram Mohd Rashid
    • 1
  1. 1.Faculty of Electrical and Electronic EngineeringUniversity Malaysia PahangPekanMalaysia

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