Emissions and fuel economy trade-off for hybrid vehicles using fuzzy logic

  • Authors:

  • Naim A. Kheir;Mutasim A. Salman;Niels J. Schouten

  • Affiliations:

  • Electrical and Systems Engineering Department, School of Engineering and Computer Sciences, Oakland University, 102A SEB, Rochester, MI;General Motors Research and Development Center, 30500 Mound Road, Warren, MI;Electrical and Systems Engineering Department, School of Engineering and Computer Sciences, Oakland University, 102A SEB, Rochester, MI

  • Venue:
  • Mathematics and Computers in Simulation - Special issue: Selected papers from the 4th IMACS symposium on mathematical modelling (4th MATHMOD)
  • Year:
  • 2004

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Abstract

In this paper, a generalized fuzzy logic controller (FLC) is used to optimize the fuel economy and reduce the emissions of hybrid vehicles with parallel configuration. Using the driver input, the state of charge (SOC) of the energy storage, the motor/generator speed, the current gear ratio and vehicle speed, a set of 44 roles have been developed, in a fuzzy controller, to effectively determine the power split between the electric machine and the internal combustion engine (ICE). The underlying theme of the fuzzy controller is to optimize the fuel flow and reduce NOx emission. The parameters in the fuzzy rules can be adjusted to trade-off the fuel economy and the NOx emission of the vehicle. Simulation results are used to assess the performance of the controller. A forward-looking hybrid vehicle simulation model is used to implement the control strategies. By using fuzzy logic, trade-off between fuel economy and emission improvement has been shown.