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Feed-forward modelling and fuzzy logic based control strategy for powertrain efficiency improvement in a parallel hybrid electric vehicle

Author

Listed:
  • Meisam Amiri
  • Vahid Esfahanian
  • Mohammad Reza Hairi-Yazdi
  • Mohsen Esfahanian
  • Amir Mohammad Fazeli
  • Ali Nabi

Abstract

With the stricter limitations on both fuel consumption and air pollution, the advantages of a hybrid electric vehicle are becoming more evident than ever. In the present study, an energy management system for a hybrid electric vehicle is developed. Because the plant under consideration is nonlinear, multi-domain, time-varying, has multiple uncertainties and, in addition, the designed control strategy must be able to obey the driver's commands and achieve the par-internship for a new generation of vehicle regulations, the fuzzy logic approach is chosen. A feed-forward hybrid vehicle simulation model is used to demonstrate the validity and the convenience of the current approach and its results have been compared with the other parallel hybrid electric vehicle control strategies. Simulation results show considerable improvement in the efficiency of the internal combustion engine and, consequently, fuel consumption and acceleration performances.

Suggested Citation

  • Meisam Amiri & Vahid Esfahanian & Mohammad Reza Hairi-Yazdi & Mohsen Esfahanian & Amir Mohammad Fazeli & Ali Nabi, 2008. "Feed-forward modelling and fuzzy logic based control strategy for powertrain efficiency improvement in a parallel hybrid electric vehicle," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 15(2), pages 191-207, September.
    • Handle: RePEc:taf:nmcmxx:v:15:y:2008:i:2:p:191-207
    DOI: 10.1080/13873950802532294
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