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Fuzzy multi-objective control strategy for parallel hybrid electric vehicle

Fuzzy multi-objective control strategy for parallel hybrid electric vehicle

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  • Author(s): Y. Zhang 1  and  H.-P. Liu 1
    • View affiliations
    • Affiliations: 1: State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Department of Electrical Engineering, Chongqing University, Chongqing, People's Republic of China
  • Source: Volume 2, Issue 2, June 2012, p. 39 – 50
    DOI:  10.1049/iet-est.2011.0041 , Print ISSN 2042-9738, Online ISSN 2042-9746
© The Institution of Engineering and Technology
Published

This study presents a design method of an energy control strategy for parallel hybrid electric vehicles by using fuzzy multi-objective optimisation. By converting the electric energy consumed by the electric motor into an equivalent fuel consumption, the overall vehicle fuel economy and the corresponding emissions could be treated as the optimisation objectives. Then a minimum average weighted deviation method is proposed and intends to find the Pareto optimal solution, considering that its flexibility could content the variations in emission requirement in different districts. The simulation results reveal that, compared with the conventional rule-based control strategy and fuzzy logical control strategy, the proposed fuzzy multi-objective control strategy not only improves fuel economy and emission level but also maintains the battery state of charge within its operation range effectively.

Inspec keywords: machine control; fuzzy control; hybrid electric vehicles; fuel economy

Other keywords: Pareto optimal solution; battery chargers; electric energy; electric motor; fuzzy multiobjective optimisation; fuzzy multiobjective control; equivalent fuel consumption; parallel hybrid electric vehicle; vehicle fuel economy; energy control; fuzzy logical control

Subjects: Transportation; Power convertors and power supplies to apparatus; Fuzzy control; Control of electric power systems

References

    1. 1)
      • Caratozzolo, P., Serra, M., Riera, J.: `Energy management strategies for hybrid electric vehicles', Proc. IEEE Electric Machines and Drives Conf., (IEMDC’03), 2003, p. 241–248.
    2. 2)
    3. 3)
    4. 4)
      • Chan, C.C.: `The state of the art of electric, hybrid and fuel cell vehicles', Proc. IEEE, 2007, 95, p. 704–718.
    5. 5)
    6. 6)
    7. 7)
      • Kleimaier, A., Schröder, D.: `Optimization strategy for design and control of a hybrid vehicle', Proc. Sixth Int. Workshop on Advanced Motion Control, 30 March–1 April 2000, Nagoya, Japan, p. 459–464.
    8. 8)
    9. 9)
    10. 10)
      • F.R. Salmasi . (2005) Designing control strategies for hybrid electric vehicles.
    11. 11)
      • Li, X., Williamson, S.S.: `Assessment of efficiency improvement techniques for future power electronics intensive hybrid electric vehicle drive trains', IEEE Canada Electrical Power Conf., 2007, p. 268–273.
    12. 12)
    13. 13)
      • Zhong, H., Wang, F., Ao, G.-Q.: `An optimal torque distribution strategy for an integrated starter-generator parallel hybrid electric vehicle based on fuzzy logic control', Proc. IMechE J. Automobile Engineering, September 2007, 222, p. 79–92, Part D.
    14. 14)
    15. 15)
    16. 16)
      • Banvait, H., Anwar, S., Chen, Y.B.: `A rule-based energy management strategy for plug-in hybrid electric vehicle (PHEV)', American Control Conf., 2009, p. 3938–3943.
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
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