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Title:

Minimization of Fuel Consumption for Vehicle Trajectories

Accession Number:

01660522

Record Type:

Component

Abstract:

The importance of eco-driving in reducing cumulative fuel consumption of road vehicles is a well-known and widely treated subject. Eco-driving intends to minimize fuel consumption by maneuvering a vehicle with a human or automated driver. In this work, the problem is cast in an optimal control framework with fixed time horizon. State equations reflect the simple vehicle kinematic equations for position and speed, with the acceleration acting as a control input. Initial and final states (position and speed) are fixed. For the fuel consumption estimation, a number of alternatives are employed. To start with, a realistic, but nonlinear and non-smooth formula from the literature is considered. Simple smoothing procedures are then applied, so as to enable the application of powerful numerical algorithms for the efficient solution of the resulting nonlinear optimal control problem. Furthermore, suitable quadratic approximations of the nonlinear formula are also considered, which enable analytical problem solutions. A comprehensive comparison on the basis of various driving scenarios demonstrates the features of each alternative approach. In particular, it is demonstrated that the often utilized, but sometimes strongly questioned, square-of-acceleration term delivers excellent approximations for fuel-minimizing trajectories in the present setting.

Supplemental Notes:

This paper was sponsored by TRB committee ADC20 Standing Committee on Transportation and Air Quality.

Report/Paper Numbers:

18-03953

Language:

English

Authors:

Typaldos, Panagiotis
Papamichail, Ioannis
Papageorgiou, Markos

Pagination:

19p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Energy; Highways; Planning and Forecasting; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-03953

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:59AM