TY - GEN
T1 - Model predictive control-based controller design for a power-split hybrid electric vehicle
AU - Wang, Weida
AU - Jia, Shipeng
AU - Xiang, Changle
AU - Huang, Kun
AU - Zhao, Yulong
N1 - Publisher Copyright:
© 2014 Swinburne University of Technology, Australia.
PY - 2015/1/23
Y1 - 2015/1/23
N2 - In order to meet the real-time optimal control requirements of a dual-mode power-split hybrid electric vehicle, a system predictive control strategy is studied in this paper. In order to deal with the contradiction between engine optimal fuel economy and the minimum range of battery SOC effectively, a control strategy used one dimensional search method for Multi-objective optimization control is proposed based on the analysis of structural characteristics of the power-split hybrid power system. This paper uses the improved fuel economy as the main target, the characteristic parameters of system in the future are predicted, and the speed and torque of the motor are adjusted with respect to the predictive results. An on-line optimization approach is applied to the real-time control, and the typical driving cycle is simulated by Matlab/Simulink. The simulation results show that the effects of the energy management strategy based on predictive control model are considerable, and this can realize the optimization of the engine operating point and improve the vehicle's fuel economy.
AB - In order to meet the real-time optimal control requirements of a dual-mode power-split hybrid electric vehicle, a system predictive control strategy is studied in this paper. In order to deal with the contradiction between engine optimal fuel economy and the minimum range of battery SOC effectively, a control strategy used one dimensional search method for Multi-objective optimization control is proposed based on the analysis of structural characteristics of the power-split hybrid power system. This paper uses the improved fuel economy as the main target, the characteristic parameters of system in the future are predicted, and the speed and torque of the motor are adjusted with respect to the predictive results. An on-line optimization approach is applied to the real-time control, and the typical driving cycle is simulated by Matlab/Simulink. The simulation results show that the effects of the energy management strategy based on predictive control model are considerable, and this can realize the optimization of the engine operating point and improve the vehicle's fuel economy.
KW - dual-mode
KW - fuel economy
KW - model predictive control
KW - power-split hybrid power system
KW - predictive model
UR - http://www.scopus.com/inward/record.url?scp=84923412742&partnerID=8YFLogxK
U2 - 10.1109/ICMIC.2014.7020755
DO - 10.1109/ICMIC.2014.7020755
M3 - Conference contribution
AN - SCOPUS:84923412742
T3 - Proceedings of 2014 International Conference on Modelling, Identification and Control, ICMIC 2014
SP - 219
EP - 224
BT - Proceedings of 2014 International Conference on Modelling, Identification and Control, ICMIC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Modelling, Identification and Control, ICMIC 2014
Y2 - 3 December 2014 through 5 December 2014
ER -