Energy-Optimal Speed Control for Autonomous Electric Vehicles Up- and Downstream of a Signalized Intersection

Signalized intersections can increase the vehicle stops and consequently increase the
energy consumption by forcing stop-and-go dynamics on vehicles. Eco-driving with the help of
connectivity is a solution that could avoid multiple stops and improve energy efficiency. In this paper,
an eco-driving framework is developed, which finds the energy-efficient speed profile both up- and
downstream of a signalized intersection in free-flow situations (eco-FF). The proposed framework
utilizes the signal phasing and timing (SPaT) data that are communicated to the vehicle. The energy
consumption model used in this framework is a combination of vehicle dynamics and time-dependent
auxiliary consumption, which implicitly incorporates the travel time into the function and is validated
with real-world test data. It is shown that, by using the proposed eco-FF framework, the vehicle’s
energy consumption is notably reduced.

Jaar van publicatie:2023

Toegankelijkheid:Open