DocumentCode :
1734716
Title :
MPC-based torque distribution strategy for energy management of power-split hybrid electric vehicles
Author :
Zijia Lu ; Jipeng Song ; Hongliang Yuan ; Ling Shen
Author_Institution :
Tongji Univ., Shanghai, China
fYear :
2013
Firstpage :
7650
Lastpage :
7655
Abstract :
This paper presents an improved dynamic model of power-split hybrid electric vehicles (HEVs) and applies a model predictive control algorithm to the energy management of HEVs. Majority researches only consider the dynamics of the battery state of charge, but ignore the dynamics of IC engines and electric motors. Instead, this paper takes into account both the dynamics from the electrical and the mechanical path. To improve fuel economy, the rate of fuel consumption is included in the cost function in a segmented linear regression form. Besides, the engine efficiency is also included in the cost function. Given the dynamics model and the cost function, a model predictive control algorithm is proposed to handle the nonlinear constrained optimal problem. Simulation results verify that the proposed approach improves the fuel economy and enhances the engine efficiency.
Keywords :
hybrid electric vehicles; predictive control; regression analysis; IC engines; MPC-based torque distribution strategy; cost function; electric motors; energy management; model predictive control algorithm; nonlinear constrained optimal problem; power-split hybrid electric vehicles; segmented linear regression form; Cost function; Energy management; Engines; Fuels; Hybrid electric vehicles; Torque; Vehicle dynamics; Energy Management; Hybrid Electric Vehicle; Model Predictive Control; Power-split HEV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6640787
Link To Document :
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