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 CO 2 emissions significantly.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.