Abstract: Fuel consumption models have emerged as an effective tool for the development and assessment of new vehicle technologies. However, most existing fuel consumption models are based on steady-state fuel consumption map. They are not able to precisely predict vehicle fuel consumption under transient conditions. To solve this problem, a transient fuel consumption model called BIT-TFCM was developed by introducing appropriate transient corrections based on the steady-state fuel consumption models. The BIT-TFCM model was validated with experimental data. And the results show that the model accuracy can be improved significantly by introducing transient corrections. The mean absolute percentage error of the BIT-TFCM is approximately 11.44%~19.28% lower than that of steady-state model. Moreover, the prediction results of the BIT-TFCM model are more accurate than the classic VT-Micro model.