This study presents a novel decentralised hierarchical global energy management control strategy for a group of connected four-wheel-drive hybrid electric vehicles (HEVs) in urban road conditions. In the higher level controller, signal phase and timing information and the optimal cruising velocity are combined to generate the target velocities for the HEVs. A model predictive control framework that focuses on the tracking of the target velocity and the associated desired control variable for every individual vehicle is proposed for the prediction of the optimal velocity that compromises fuel economy, mobility and safety. In the lower level controller, a dynamic programming problem is formulated that utilises the predicted velocity for the global energy management optimisation of every individual HEV. Simulation results validate the advantages of the proposed higher and lower level controllers.
Global optimal energy management control strategies for connected four-wheel-drive hybrid electric vehicles
IET Intelligent Transport Systems ; 11 , 5 ; 264-272
01.06.2017
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
decentralised hierarchical global energy management control strategy , HEVs , global energy management optimisation , dynamic programming , energy management systems , connected four-wheel-drive hybrid electric vehicles , target velocity generation , optimal control , dynamic programming problem , wheels , fuel economy , level control , optimal cruising velocity , predictive control , global optimal energy management control strategy , urban road conditions , level controller , timing information , model predictive control framework , hybrid electric vehicles
Metadata by IET is licensed under CC BY 3.0
Wiley | 2017
|An optimal distribution control strategy for four-independent wheel drive electric vehicles
Kraftfahrwesen | 2015
|An optimal torque distribution control strategy for four-independent wheel drive electric vehicles
Taylor & Francis Verlag | 2015
|