Time Optimal and Eco-Driving Mission Planning under Traffic Constraints
Paper in proceedings, 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

Author

Ahad Hamednia

Chalmers, Electrical Engineering, Systems and control, Mechatronics

Nikolce Murgovski

Chalmers, Electrical Engineering, Systems and control, Mechatronics

Jonas Fredriksson

Chalmers, Electrical Engineering, Systems and control, Mechatronics

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

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

Multi-CORE - Multi-level COntrol for Robust integrated vehicle Energy management

Swedish Energy Agency, 2016-12-01 -- 2019-12-31.

Subject Categories

Computer Engineering

Transport Systems and Logistics

Vehicle Engineering

Areas of Advance

Transport

Energy

More information

Created

11/9/2020