Transient Fuel Consumption Modelling Based on Transient Correction

Hui Jin, Min Zhou, Shi Jie Li

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)473-477 and 484
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume37
Issue number5
DOIs
Publication statusPublished - 1 May 2017

Keywords

  • Fuel consumption model
  • Steady-state model
  • Transient correction
  • Transient fuel consumption model

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Jin, H., Zhou, M., & Li, S. J. (2017). Transient Fuel Consumption Modelling Based on Transient Correction. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 37(5), 473-477 and 484. https://doi.org/10.15918/j.tbit1001-0645.2017.05.007