Fast Computing and Approximate Fuel Consumption Modeling for Internal Combustion Engine Passenger Cars - Archive ouverte HAL
Article Dans Une Revue Transportation research part D: Transport and Environment Année : 2017

Fast Computing and Approximate Fuel Consumption Modeling for Internal Combustion Engine Passenger Cars

Olivier Orfila
  • Fonction : Auteur
Camila Freitas Salgueiredo
  • Fonction : Auteur
Haihao Sun
  • Fonction : Auteur
Ye Li
  • Fonction : Auteur
Dominique Gruyer
  • Fonction : Auteur
Sébastien Glaser
  • Fonction : Auteur

Résumé

This article presents a fuel consumption model, SEFUM (Semi Empirical Fuel Use Modeling), and its comparison with three models from the literature on a 600km experimental database. This model is easy to calibrate with only a few required parameters that are provided by car manufacturers. The test database has been built from 21 drivers who drove in two conditions (normal and ecodriving) on a 15km trip. For the model evaluation, three indicators have been selected: instantaneous fuel use root mean square error, cumulated error and computation time in order to evaluate the accuracy both in cumulated and instantaneous fuel use and to estimate computation time of each model. Results tend to prove that the model is able to compute rapidly (maximum of 1500 simulated kilometers under Matlab) in comparison to all other models while ensuring a high accuracy and precision for cumulated and instantaneous fuel use.
Fichier non déposé

Dates et versions

hal-02191725 , version 1 (23-07-2019)

Identifiants

Citer

Olivier Orfila, Camila Freitas Salgueiredo, Guillaume Saint Pierre, Haihao Sun, Ye Li, et al.. Fast Computing and Approximate Fuel Consumption Modeling for Internal Combustion Engine Passenger Cars. Transportation research part D: Transport and Environment, 2017, 50, pp.14-25. ⟨10.1016/j.trd.2016.10.016⟩. ⟨hal-02191725⟩

Collections

CEREMA
21 Consultations
0 Téléchargements

Altmetric

Partager

More