Time Optimal and Eco-Driving Mission Planning under Traffic Constraints
Paper i proceeding, 2020

This paper addresses optimising a transport mission by controlling the mission start time and velocity profile of an electric vehicle (EV) driving in a hilly terrain, subject to legal and dynamic speed limits imposed by traffic congestion. To this end, a nonlinear program (NLP) is formulated, where the mission start time is allowed to vary within an interval and final time is kept free. The goal is to find the optimal trade-off between energy consumption and travel time, while allowing a flexibility in starting time and a certain variation of vehicle speed around an average. It is observed that total travel time is reduced up to 5.5% by adjusting the mission start time, when keeping an average cruising speed of about 75 km/h.

Intelligent Logistics

Theory and Models for Optimization and Control

Road Traffic Control

Författare

Ahad Hamednia

Chalmers, Elektroteknik, System- och reglerteknik, Mekatronik

Nikolce Murgovski

Chalmers, Elektroteknik, System- och reglerteknik, Mekatronik

Jonas Fredriksson

Chalmers, Elektroteknik, System- och reglerteknik, Mekatronik

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
Rhodos, Greece,

Robusta styrsystem för integrerad energihantering i fordon

Energimyndigheten, 2016-12-01 -- 2019-12-31.

Ämneskategorier

Datorteknik

Transportteknik och logistik

Farkostteknik

Styrkeområden

Transport

Energi

Mer information

Skapat

2020-11-09