Highway Eco-Driving of an Electric Vehicle Based on Minimum Principle

Conference · Mon Aug 27 04:00:00 EDT 2018

OSTI ID:1482391

Shen, Daliang; Karbowski, Dominik A.; Rousseau, Aymeric

The digital map in the on-board navigation system on passenger vehicles nowadays gives controllers access to detailed information of a planned route. Connected automated vehicles equipped with high computing power, are able to process data and leverage high control freedom available through automation. This paper proposes a fast optimization algorithm for eco-driving of electric vehicles in highway cruising scenarios. The algorithm is based on optimal control theory and takes into account road grades as well as state constraints imposed by speed limits and safe headway to the preceding car. Using Autonomie, the proposed algorithm is evaluated by simulating two example scenarios. The first result demonstrates an energy saving potential of 4.4%.

• Research Organization: Argonne National Laboratory (ANL)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE) - Office of Vehicle Technology
• DOE Contract Number: AC02-06CH11357
• OSTI ID: 1482391
• Country of Publication: United States
• Language: English

Related Subjects

connected automated vehicle
eco-driving
electric vehicle
highway cruising
minimum principle
state constraints