Title: Power management of PHEV using quadratic programming

Authors: Zhiguang Zhou; Chris Mi

Addresses: College of Mechanical and Vehicle Engineering, Hunan University, Yuelu District, Changsha City, Hunan Province, 410082, China; Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 4901 Evergreen Road, Dearborn, MI 48128, USA. ' Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 4901 Evergreen Road, Dearborn, MI 48128, USA

Abstract: This paper studies the power management of a plug-in hybrid electric vehicle (PHEV) using quadratic programming. The proposed quadratic programming can obtain the global optimal solution of the power distribution between battery/motor and engine while maintaining vehicle performance. Computation time can be significantly saved compared with dynamic programming. Therefore, it can be used in real-time realisation. Two typical driving cycles, namely, UDDS and HWFET driving cycles are used to test the effectiveness of optimisation strategy. The simulation results indicate that significant amount of fuel can be saved with the proposed method.

Keywords: power management; optimisation; rule-based strategy; quadratic programming; plug-in HEVs; hybrid electric vehicles; PHEV; hybrid vehicles; simulation; fuel consumption.

DOI: 10.1504/IJEHV.2011.043876

International Journal of Electric and Hybrid Vehicles, 2011 Vol.3 No.3, pp.246 - 258

Published online: 27 Nov 2011 *

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