Title: A finite horizon optimisation-based energy management method for a dual-mode power-split hybrid electric vehicle

Authors: Weida Wang; Hui Liu; Changle Xiang; Shipeng Jia; Yulong Zhao

Addresses: National Key Laboratory of Vehicle Transmission, Beijing Institute of Technology, Beijing 100081, China ' National Key Laboratory of Vehicle Transmission, Beijing Institute of Technology, Beijing 100081, China ' National Key Laboratory of Vehicle Transmission, Beijing Institute of Technology, Beijing 100081, China ' National Key Laboratory of Vehicle Transmission, Beijing Institute of Technology, Beijing 100081, China ' National Key Laboratory of Vehicle Transmission, Beijing Institute of Technology, Beijing 100081, China

Abstract: 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.

Keywords: power-split hybrid power systems; dual-mode; fuel economy; finite horizon optimisation; predictive modelling; energy management; hybrid electric vehicles; HEVs; hybrid vehicles; PSHEVs; optimal control; SOC range; state-of-charge; simulation.

DOI: 10.1504/IJMIC.2016.080300

International Journal of Modelling, Identification and Control, 2016 Vol.26 No.3, pp.283 - 292

Received: 25 May 2015
Accepted: 11 Nov 2015

Published online: 08 Nov 2016 *

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