TY - JOUR
T1 - A finite horizon optimisation-based energy management method for a dual-mode power-split hybrid electric vehicle
AU - Wang, Weida
AU - Liu, Hui
AU - Xiang, Changle
AU - Jia, Shipeng
AU - Zhao, Yulong
N1 - Publisher Copyright:
© 2016 Inderscience Enterprises Ltd.
PY - 2016
Y1 - 2016
N2 - Power-split hybrid electric vehicles (PSHEVs) can enhance the fuel economy by adjusting the engine operating points, and take full advantage of the high efficiency of the mechanical transmission. In this paper, the power-split characteristics are analysed aiming at a special scheme of dual-mode PSHEV. In order to meet the real-time optimal control requirements of a dual-mode PSHEV, a finite horizon optimisation control strategy is studied. This paper uses the improved fuel economy and the SOC range as the main target, and the characteristic parameters of the system in the future are predicted in the finite horizon. The simulation results show that the effects of the real-time driving condition on the energy management strategy are considered by the prediction information in the finite horizon, and this can enhance the optimisation effect of the engine operating point and improve the vehicle's fuel economy, comparing with the conventional ruled-based energy management strategy.
AB - Power-split hybrid electric vehicles (PSHEVs) can enhance the fuel economy by adjusting the engine operating points, and take full advantage of the high efficiency of the mechanical transmission. In this paper, the power-split characteristics are analysed aiming at a special scheme of dual-mode PSHEV. In order to meet the real-time optimal control requirements of a dual-mode PSHEV, a finite horizon optimisation control strategy is studied. This paper uses the improved fuel economy and the SOC range as the main target, and the characteristic parameters of the system in the future are predicted in the finite horizon. The simulation results show that the effects of the real-time driving condition on the energy management strategy are considered by the prediction information in the finite horizon, and this can enhance the optimisation effect of the engine operating point and improve the vehicle's fuel economy, comparing with the conventional ruled-based energy management strategy.
KW - Dual-mode
KW - Finite horizon optimisation
KW - Fuel economy
KW - Power-split hybrid power system
KW - Predictive model
UR - http://www.scopus.com/inward/record.url?scp=84996590362&partnerID=8YFLogxK
U2 - 10.1504/IJMIC.2016.080300
DO - 10.1504/IJMIC.2016.080300
M3 - Article
AN - SCOPUS:84996590362
SN - 1746-6172
VL - 26
SP - 283
EP - 292
JO - International Journal of Modelling, Identification and Control
JF - International Journal of Modelling, Identification and Control
IS - 3
ER -