Title :
Optimal Multilevel Hierarchical Control Strategy for Parallel Hybrid Electric Vehicle
Author_Institution :
Automotive Eng. Inst., Wuhan Univ. of Technol.
Abstract :
This paper presents a control strategy based on the multilevel hierarchical control for the parallel hybrid electric vehicle (HEV). The simulation model of this control strategy is constructed by using Matlab/Simulink/Stateflow and is optimized by applying the improved particle swarm optimization algorithm. Under the satisfaction with the vehicle dynamic property and the balance of the state of charge of the battery, this control strategy properly determines the direction and quantity of the energy flow in the powertrain of the parallel HEV and makes the engine, the motor and the battery operate efficiently in optimal state in order to minimize the fuel consumption and emissions
Keywords :
electric motors; engines; hierarchical systems; hybrid electric vehicles; particle swarm optimisation; power transmission (mechanical); Matlab-Simulink-Stateflow; fuel consumption; hybrid electric vehicles; multilevel hierarchical control; optimal multilevel hierarchical control strategy; parallel hybrid electric vehicle; particle swarm optimization algorithm; powertrain; vehicle dynamic property; Batteries; Control systems; Engines; Hybrid electric vehicles; Mechanical power transmission; Optimal control; Particle swarm optimization; Torque control; Vehicle driving; Vehicle dynamics; Control strategy; Multilevel hierarchical control; Parallel HEV; Particle swarm optimization;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2006. VPPC '06. IEEE
Conference_Location :
Windsor
Print_ISBN :
1-4244-0158-5
Electronic_ISBN :
1-4244-0159-3
DOI :
10.1109/VPPC.2006.364369
