NDLI: Optimal Control Strategy Based on PSO for Powertrain of Parallel Hybrid Electric Vehicle

Content Provider	IEEE Xplore Digital Library
Author	Miaohua Huang Houyu Yu
Copyright Year	2006
Description	Author affiliation: Wuhan Univ. of Technol., Wuhan (Miaohua Huang; Houyu Yu)
Abstract	This paper presents a control strategy based on the multilevel hierarchical control for the powertrain of 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 (PSO) 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.
Starting Page	352
Ending Page	355
File Size	1920165
Page Count	4
File Format	PDF
ISBN	1424407583
DOI	10.1109/ICVES.2006.371614
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Powertrain Parallel HEV Control systems Batteries Hybrid electric vehicles Fuels Control strategy Particle swarm optimization Vehicle dynamics Multilevel hierarchical control Engines Torque control Optimal control Mechanical power transmission
Content Type	Text
Resource Type	Article

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