Fuel consumption model optimization based on transient correction

Abstract

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.