Distributed eco-driving control of a platoon of electric vehicles through Riccati recursion
Journal article, 2023
subject to safety and travel time constraints. Individual optimal trajectories are generated for each platoon member to account for heterogeneous vehicles and for the road slope. By rearranging the problem variables, the Riccati recursion can be applied along the chain-like structure of the platoon and be used to solve the problem by repeatedly transmitting information up and down the platoon. Since each vehicle is only responsible for its own part of the computations, the proposed control strategy is privacy-preserving and could therefore be deployed by any group of vehicles to form a platoon spontaneously while driving. The energy efficiency of this control strategy is evaluated in numerical experiments for platoons of electric trucks with different masses and rated motor powers.
Optimal control
Electric vehicles
Platooning
Distributed control
Riccati recursion
Energy management
Author
Rémi Lacombe
Chalmers, Electrical Engineering, Systems and control
Nikolce Murgovski
Chalmers, Electrical Engineering, Systems and control
Sebastien Gros
Chalmers, Electrical Engineering, Systems and control
Balázs Adam Kulcsár
Chalmers, Electrical Engineering, Systems and control
IEEE Transactions on Intelligent Transportation Systems
1524-9050 (ISSN) 1558-0016 (eISSN)
Vol. 24 3 3048-3063OPerational Network Energy managemenT for electrified buses (OPNET)
Swedish Energy Agency (46365-1), 2018-10-01 -- 2021-12-31.
Areas of Advance
Transport
Subject Categories
Transport Systems and Logistics
Communication Systems
Control Engineering
DOI
10.1109/TITS.2022.3224389