Traffic light assistant system for optimized energy consumption in an electric vehicle
Paper i proceeding, 2014

Increasingly intelligent vehicle driving systems are rapidly being developed, and will in the future become a necessity for sustainable, convenient and safe mobility in our ever more urbanized world. This paper presents an innovative approach for the control of a fully electric vehicle approaching a road segment with Multiple Traffic Lights (TL). By utilizing Vehicle to Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, the energy consumption for the maneuver completion can be reduced. The problem is approached from a Model Predictive Control (MPC) framework. The performance of the system is evaluated using a complex simulation toolchain representing the vehicle, powertrain, driver, and road including the traffic conditions. The results have shown an overall energy consumption reduction of 29 % for an idealized case and 17 % for a real road simulated scenario as compared to ‘normal’ human driver behavior.

Model Predictive Control (MPC)

Advanced Driver Assistance Systems (ADAS)

Simulation

Energy Consumption

Electric Vehicle

Vehicle-to-Infrastructure (V2I)

Traffic Lights

Författare

Emre Kural

AVL

Stephen Jones

AVL

Alejandro Ferreira Parrilla

Chalmers, Signaler och system

Anders Grauers

Chalmers, Signaler och system, System- och reglerteknik, Automation

2014 International Conference on Connected Vehicles and Expo (ICCVE)

604-611

Styrkeområden

Transport

Energi

Ämneskategorier

Reglerteknik

DOI

10.1109/ICCVE.2014.7297619

ISBN

978-1-4799-6729-2

Mer information

Senast uppdaterat

2018-03-06