Eco-driving on hilly roads using model predictive control

A. S.M. Bakibillah, M. A.S. Kamal, C. P. Tan, T. Hayakawa, J. Imura

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

4 Citations (Scopus)

Abstract

Fuel consumption and emissions of a vehicle are greatly affected by roadway grades or slopes and driving behavior. Therefore, it is necessary to develop optimal driving systems on hilly roads. This work proposes an ecological (eco) driving system (EDS) using the model predictive control (MPC) mechanism that generates the optimal speed trajectory for a vehicle given road slope profile ahead. Based on the factors influencing fuel consumption of a vehicle, a nonlinear optimization problem is formulated considering a suitable prediction horizon and an objective function. In addition, the weight parameter of the objective function is tuned by means of fuzzy inference techniques utilizing the current speed and road slope. We conduct microscopic traffic simulation to evaluate the performance of the proposed EDS considering free flow of vehicles on a hilly road with typical shapes of slopes. The fuel consumptions estimated from simulation results show that the EDS using MPC and fuzzytuned MPC outperform the traditional human driving system by 5.7% and 6.4%, respectively for up-down slope and 7.2% and 8.24%, respectively for down-up slope. Moreover, the proposed EDS reduces the CO2 emissions significantly.

Original languageEnglish
Title of host publication2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages476-480
Number of pages5
ISBN (Electronic)9781538651612
DOIs
Publication statusPublished - 2019
EventJoint International Conference on Informatics, Electronics and Vision and International Conference on Imaging, Vision and Pattern Recognition 2018 - Kitakyushu, Japan
Duration: 25 Jun 201828 Jun 2018
Conference number: 7th/2nd
https://ieeexplore.ieee.org/xpl/conhome/8637086/proceeding (Proceedings)

Conference

ConferenceJoint International Conference on Informatics, Electronics and Vision and International Conference on Imaging, Vision and Pattern Recognition 2018
Abbreviated titleICIEV/IVPR 2018
Country/TerritoryJapan
CityKitakyushu
Period25/06/1828/06/18
Internet address

Keywords

  • Eco-driving
  • Fuzzy logic.
  • Hilly roads
  • Model predictive control
  • Nonlinear optimization

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