Title :
Trajectory Optimization for the Engine–Generator Operation of a Series Hybrid Electric Vehicle
Author :
Nino-Baron, Carlos E. ; Tariq, Abdul Rehman ; Zhu, Guoming ; Strangas, Elias G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
fDate :
7/1/2011 12:00:00 AM
Abstract :
This paper presents a methodology of calculating the optimal torque and speed commands for the engine-generator system of a series hybrid electric vehicle (HEV). In series HEVs, the engine-generator subsystem provides electrical energy to the dc link. This paper proposes an optimal control strategy of the engine-generator subsystem to generate a desired amount of energy within a given period of time. The optimization algorithm, based on trajectory optimization, determines the torque and speed reference signals for the engine-generator subsystem that achieve maximum efficiency. A simplified version of the controller is also presented for online implementation. The proposed control strategy is compared with nonoptimized control techniques, and simulation results show the improvements in energy efficiency.
Keywords :
energy conservation; hybrid electric vehicles; optimal control; optimisation; dc link; electrical energy; energy efficiency; engine-generator subsystem; optimal control strategy; optimal torque; series hybrid electric vehicle; speed commands; speed reference signals; torque reference signals; trajectory optimization; Engines; Equations; Generators; Mathematical model; Optimization; Torque; Trajectory; Energy conversion efficiency; interior permanent-magnet synchronous motor (IPMSM); optimal control; series hybrid electrical vehicle (HEV); trajectory optimization;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2011.2141695