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Fuel consumption model optimization based on transient correction

Guang, Hao ; Jin, Hui

Energy (Oxford), 2019-02, Vol.169, p.508-514 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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  • Título:
    Fuel consumption model optimization based on transient correction
  • Autor: Guang, Hao ; Jin, Hui
  • Assuntos: Automobiles ; Automotive fuels ; Consumption ; Driving ability ; Economical driving ; Economics ; Emission reductions ; Emissions control ; Energy conservation ; Energy savings ; Fuel consumption ; Fuel consumption model ; Fuel economy ; Mathematical models ; Model optimization ; Motor vehicles ; Mountains ; Optimization
  • É parte de: Energy (Oxford), 2019-02, Vol.169, p.508-514
  • Descrição: With the growing desire for “lucid waters and lush mountains”, energy savings and emission reductions of automobiles have received unprecedented attention. As a result, how to achieve economical driving is also a focus of current research. The engine dynamic fuel consumption model is the basis for research on automobile fuel economy. To overcome the deficiency of the original transient fuel consumption models based on “steady-state prediction plus transient correction”, a new model called BIT-TFCM-3 was developed. The new model was verified using measured fuel consumption data from Argonne National Laboratory. The results show that, compared with the original models, the new model not only has a higher computing speed but also a significantly improved prediction accuracy. •The deficiencies of the original fuel consumption models are analyzed.•Block interpolation can increase the interpolation speed.•A new model based on “steady-state prediction plus transient correction” is developed.•The measured fuel consumption data from Argonne National Laboratory is used to verify the model.•The model can be used as an economic evaluation tool for new vehicle technologies.
  • Editor: Oxford: Elsevier Ltd
  • Idioma: Inglês
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